premise
string
hypothesis
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int64
| K40Specs | | | --- | --- | | GlobalMemory | 11520MB | | L2cachesize | 1.57MB | | Sharedmemoryperblock | 0.049MB |
| Multiprocessors | 15 | | --- | --- | | CoresperMP | 192 | | Registersperblock | 65536 |
1
| K40Specs | | | --- | --- | | GlobalMemory | 11520MB | | L2cachesize | 1.57MB | | Sharedmemoryperblock | 0.049MB |
| | TeslaK40t | | --- | --- | | GPUchip | GK110BGL | | Computecapability | 3.5 | | GPUmemory(GDDR5SGRAM) | 12288MiB | | Memorybuswidth | 384bits | | Peakmemoryclockrate | 3004MHz | | Theoreticalmemorybandwidth | 268.58GiB/s | | NumberofSMXprocessors | 15 | | Max32-bitregistersperSIMDprocessor | 65536 | | Maxsharedmemoryperthreadblock | 49152bytes | | L2cachesize | 1.50MiB |
0
| K40Specs | | | --- | --- | | GlobalMemory | 11520MB | | L2cachesize | 1.57MB | | Sharedmemoryperblock | 0.049MB |
| Multiprocessors | 15 | | --- | --- | | CoresperMP | 192 | | Registersperblock | 65536 |
1
| K40Specs | | | --- | --- | | GlobalMemory | 11520MB | | L2cachesize | 1.57MB | | Sharedmemoryperblock | 0.049MB |
| Maxsharedmemoryperthreadblock | 49152bytes | | --- | --- | | L2cachesize | 1.50MiB |
0
| Category | S-Level | | --- | --- | | WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 | | NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 | | Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 | | Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 | | PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 | | NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 | | Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 | | Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 |
| Hungarianmonarchs<br>NobellaureatesinEconomics<br>Japaneseemperors<br>BurialsatRiddarholmenChurch<br>ConfederateStatesArmygenerals | -121.41<br>-119.82<br>-118.64<br>-117.55<br>-116.08 | | --- | --- | | TVBveteranactors<br>Americanprintmakers<br>Englishsnookerplayers<br>PrimeMinistersofFrance<br>MembersoftheHouseofRepresentativesoftheNetherlands | -115.87<br>-115.36<br>-114.83<br>-114.21<br>-112.84 |
1
| Category | S-Level | | --- | --- | | WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 | | NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 | | Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 | | Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 | | PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 | | NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 | | Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 | | Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 |
| Event | TweetCount | | --- | --- | | TrainingData | | | 2010NFLDivisionChampionship | 109,809 | | 2012PremierLeagueSoccerGames | 1,064,040 | | 2014NHLStanleyCupPlayoffs | 2,421,065 | | 2014NBAPlayoffs | 500,170 | | 2014KentuckyDerbyHorseRace | 233,172 | | 2014BelmontStakesHorseRace | 226,160 | | 2014FIFAWorldCupStagesA+B | 5,867,783 | | TestingData | | | 2013MLBWorldSeriesGame5 | 1,052,852 | | 2013MLBWorldSeriesGame6 | 1,026,848 | | 2013HonshuEarthquake | 444,018 | | 2014NFLSuperBowl | 1,024,367 | | 2014FIFAWorldCupThirdPlace | 809,426 | | 2014FIFAWorldCupFinal | 1,166,767 | | 2014IwakiEarthquake | 358,966 | | Total | 16,305,443 |
0
| Category | S-Level | | --- | --- | | WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |
| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 | | --- | --- | | Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 | | Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 | | PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 | | NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 | | Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 | | Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 | | Hungarianmonarchs<br>NobellaureatesinEconomics<br>Japaneseemperors<br>BurialsatRiddarholmenChurch<br>ConfederateStatesArmygenerals | -121.41<br>-119.82<br>-118.64<br>-117.55<br>-116.08 | | TVBveteranactors<br>Americanprintmakers<br>Englishsnookerplayers<br>PrimeMinistersofFrance<br>MembersoftheHouseofRepresentativesoftheNetherlands | -115.87<br>-115.36<br>-114.83<br>-114.21<br>-112.84 |
1
| Category | S-Level | | --- | --- | | WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |
| 2013MLBWorldSeriesGame5 | 1,052,852 | | --- | --- | | 2013MLBWorldSeriesGame6 | 1,026,848 | | 2013HonshuEarthquake | 444,018 | | 2014NFLSuperBowl | 1,024,367 | | 2014FIFAWorldCupThirdPlace | 809,426 | | 2014FIFAWorldCupFinal | 1,166,767 | | 2014IwakiEarthquake | 358,966 | | Total | 16,305,443 |
0
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize | | --- | --- | --- | --- | --- | --- | | S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |
| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 | | --- | --- | --- | --- | --- | --- | | S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny | | C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny | | unit | mV | mV/ms | ms | synapses | neurons |
1
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize | | --- | --- | --- | --- | --- | --- | | S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |
| Architecture | Layers | Neurons | #Params | | --- | --- | --- | --- | | relu-RNN | 4 | 607 | 6.1M | | LSTM | 5 | 375 | 8.8M | | GRU | 5 | 465 | 10.3M | | M-GRU | 5 | 465 | 7.4M | | Li-GRU | 5 | 465 | 7.4M |
0
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize | | --- | --- | --- | --- | --- | --- | | S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 | | C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |
| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny | | --- | --- | --- | --- | --- | --- | | C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny | | unit | mV | mV/ms | ms | synapses | neurons |
1
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize | | --- | --- | --- | --- | --- | --- | | S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 | | C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |
| LSTM | 5 | 375 | 8.8M | | --- | --- | --- | --- | | GRU | 5 | 465 | 10.3M | | M-GRU | 5 | 465 | 7.4M | | Li-GRU | 5 | 465 | 7.4M |
0
| Split | Base | Male | Female | M+Skin1 | M+Skin3 | | --- | --- | --- | --- | --- | --- | | 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 | | 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 | | 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 | | 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |
| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 | | --- | --- | --- | --- | --- | --- | | 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 | | 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 | | 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 | | 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 | | 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 | | Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |
1
| Split | Base | Male | Female | M+Skin1 | M+Skin3 | | --- | --- | --- | --- | --- | --- | | 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 | | 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 | | 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 | | 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |
| Split | Base | Male | Female | M+Skin1 | M+Skin3 | | --- | --- | --- | --- | --- | --- | | 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 | | 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 | | 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 | | 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 | | 5 | 0.5658 | 0.5706 | 0.6036 | 0.5999 | 0.6083 | | 6 | 0.6633 | 0.6385 | 0.7586 | 0.651 | 0.738 | | 7 | 0.6832 | 0.6931 | 0.6844 | 0.7266 | 0.8204 | | 8 | 0.6534 | 0.706 | 0.5862 | 0.7242 | 0.7833 | | 9 | 0.6157 | 0.6563 | 0.6405 | 0.7109 | 0.6677 | | 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 | | Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |
0
| Split | Base | Male | Female | M+Skin1 | M+Skin3 | | --- | --- | --- | --- | --- | --- | | 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 | | 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |
| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 | | --- | --- | --- | --- | --- | --- | | 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 | | 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 | | 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 | | 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 | | 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 | | 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 | | 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 | | Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |
1
| Split | Base | Male | Female | M+Skin1 | M+Skin3 | | --- | --- | --- | --- | --- | --- | | 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 | | 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |
| 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 | | --- | --- | --- | --- | --- | --- | | Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |
0
| Accuracy | Precision | Recall | | --- | --- | --- | | 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 | | 51.15 | - | - |
| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 | | --- | --- | --- | | 70.8 | 0.718 | 0.612 |
1
| Accuracy | Precision | Recall | | --- | --- | --- | | 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 | | 51.15 | - | - |
| WSJ10test | | | | | | --- | --- | --- | --- | --- | | Precision | Recall | F1 | Precision | Recall | | 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- | | 64.5 | 82.6 | 72.4 | 53.0 | 70.5 | | 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |
0
| Accuracy | Precision | Recall | | --- | --- | --- | | 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |
| 51.15 | - | - | | --- | --- | --- | | 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 | | 70.8 | 0.718 | 0.612 |
1
| Accuracy | Precision | Recall | | --- | --- | --- | | 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |
| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- | | --- | --- | --- | --- | --- | | 64.5 | 82.6 | 72.4 | 53.0 | 70.5 | | 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |
0
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 | | --- | --- | --- | --- | --- | --- | --- | --- | | bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 | | ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 | | ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 | | basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 | | birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 | | birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 | | blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 | | bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 | | bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 | | bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 | | book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 | | butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |
| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 | | --- | --- | --- | --- | --- | --- | --- | --- | | car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 | | crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 | | dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 | | fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 | | fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 | | fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 | | fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 | | fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 | | girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 | | glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 | | godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 | | graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 | | gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 | | gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 | | gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 | | gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 | | hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 | | handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 | | handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 | | helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 | | iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 | | iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 | | leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 | | marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 | | matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 | | motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 | | motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 | | nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 | | octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 | | pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 | | pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 | | rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 | | racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 | | road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 | | shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 | | sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 | | singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 | | singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 | | singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 | | soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 | | soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 | | soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 | | sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 | | tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 | | traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 | | tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 | | wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 | | mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 | | weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |
1
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 | | --- | --- | --- | --- | --- | --- | --- | --- | | bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 | | ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 | | ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 | | basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 | | birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 | | birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 | | blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 | | bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 | | bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 | | bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 | | book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 | | butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 | | --- | --- | --- | --- | --- | --- | --- | --- | | bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 | | ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 | | ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 | | basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 | | birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 | | birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 | | blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 | | bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 | | bolt1 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | 1.4 | 2.27 | | bolt2 | 0 | 0.27 | 0.73 | 0.6 | 0.4 | 1.4 | 1.87 | | book | 3.4 | 3.53 | 3.27 | 3.53 | 4.73 | 4.47 | 7.4 | | butterfly | 0.13 | 0 | 0.13 | 0.13 | 0.6 | 0.8 | 1.6 | | car1 | 1.73 | 2.27 | 2.33 | 1.87 | 2.07 | 2.93 | 2.87 | | car2 | 0 | 0 | 0 | 0 | 0.2 | 0.53 | 1 | | crossing | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0.13 | 0.47 | | dinosaur | 0.6 | 0 | 0 | 0 | 0.47 | 3.6 | 4.67 | | fernando | 0.67 | 0.67 | 1.33 | 0.73 | 0.93 | 1.4 | 3.47 | | fish1 | 2.73 | 2.8 | 2.67 | 2.8 | 3.13 | 3.2 | 4.47 | | fish2 | 2.4 | 3 | 2.73 | 3 | 3.2 | 4.8 | 7.2 | | fish3 | 0.27 | 0.87 | 0.67 | 0.73 | 0.73 | 0.87 | 0.8 | | fish4 | 0.67 | 0.13 | 0.4 | 0.6 | 0.8 | 1.47 | 1.2 | | girl | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 1.53 | | glove | 2.8 | 2.47 | 2.4 | 2.73 | 3.13 | 3.87 | 4.67 | | godfather | 0 | 0 | 0 | 0 | 0.47 | 0.47 | 1.47 | | graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 | | gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 | | gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 | | gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 | | gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 | | hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 | | handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 | | handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 | | helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 | | iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 | | iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 | | leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 | | marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 | | matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 | | motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 | | motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 | | nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 | | octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 | | pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 | | pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | | rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 | | racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 | | road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 | | shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 | | sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 | | singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 | | singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 | | singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 | | soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 | | soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 | | soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 | | sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 | | tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 | | traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 | | tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 | | wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 | | mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 | | weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |
0
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 | | --- | --- | --- | --- | --- | --- | --- | --- | | bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 | | ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 | | ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 | | basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 | | birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 | | birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 | | blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 | | bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 | | bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 | | bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 | | book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |
| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 | | --- | --- | --- | --- | --- | --- | --- | --- | | car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 | | car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 | | crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 | | dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 | | fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 | | fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 | | fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 | | fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 | | fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 | | girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 | | glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 | | godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 | | graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 | | gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 | | gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 | | gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 | | gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 | | hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 | | handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 | | handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 | | helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 | | iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 | | iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 | | leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 | | marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 | | matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 | | motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 | | motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 | | nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 | | octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 | | pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 | | pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 | | rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 | | racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 | | road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 | | shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 | | sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 | | singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 | | singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 | | singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 | | soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 | | soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 | | soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 | | sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 | | tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 | | traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 | | tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 | | wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 | | mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 | | weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |
1
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 | | --- | --- | --- | --- | --- | --- | --- | --- | | bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 | | ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 | | ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 | | basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 | | birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 | | birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 | | blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 | | bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 | | bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 | | bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 | | book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |
| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 | | --- | --- | --- | --- | --- | --- | --- | --- | | gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 | | gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 | | gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 | | gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 | | hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 | | handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 | | handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 | | helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 | | iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 | | iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 | | leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 | | marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 | | matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 | | motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 | | motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 | | nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 | | octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 | | pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 | | pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | | rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 | | racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 | | road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 | | shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 | | sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 | | singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 | | singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 | | singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 | | soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 | | soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 | | soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 | | sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 | | tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 | | traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 | | tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 | | wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 | | mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 | | weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |
0
| Assignmentproblems | | | | | | --- | --- | --- | --- | --- | | #tasks | Ozlenetal. | CPLEX | Splitting | Meeting | | 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 | | Knapsackproblems | | | | |
| #items | Ozlenetal. | CPLEX | Splitting | Meeting | | --- | --- | --- | --- | --- | | 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.42<br>150.06<br>528.85 |
1
| Assignmentproblems | | | | | | --- | --- | --- | --- | --- | | #tasks | Ozlenetal. | CPLEX | Splitting | Meeting | | 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 | | Knapsackproblems | | | | |
| | 3newslices | 2newslices | | | | | --- | --- | --- | --- | --- | --- | | #runs | 1 | 2 | 3 | 4 | 5 | | initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 | | master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 | | total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |
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| Assignmentproblems | | | | | | --- | --- | --- | --- | --- | | #tasks | Ozlenetal. | CPLEX | Splitting | Meeting | | 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 | | Knapsackproblems | | | | |
| #items | Ozlenetal. | CPLEX | Splitting | Meeting | | --- | --- | --- | --- | --- | | 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.42<br>150.06<br>528.85 |
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| Assignmentproblems | | | | | | --- | --- | --- | --- | --- | | #tasks | Ozlenetal. | CPLEX | Splitting | Meeting | | 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 | | Knapsackproblems | | | | |
| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 | | --- | --- | --- | --- | --- | --- | | master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 | | total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |
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| Block<br>Size | Freq(GHz) | Area(GE) | | --- | --- | --- | | TG | TG | | | 1 | 3.84 | 28101772 | | 4 | 3.42.7 | 29552471 |
| 8 | 3.62.3 | 37633575 | | --- | --- | --- | | 16 | 3.61.7 | 38415768 |
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| Block<br>Size | Freq(GHz) | Area(GE) | | --- | --- | --- | | TG | TG | | | 1 | 3.84 | 28101772 | | 4 | 3.42.7 | 29552471 |
| CountOnce | MultiCount | | | --- | --- | --- | | TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 | | 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T | | 60 | | | | 90 | | | | 120 | | | | 150 | | | | 180 | | |
0
| Block<br>Size | Freq(GHz) | Area(GE) | | --- | --- | --- | | TG | TG | |
| 1 | 3.84 | 28101772 | | --- | --- | --- | | 4 | 3.42.7 | 29552471 | | 8 | 3.62.3 | 37633575 | | 16 | 3.61.7 | 38415768 |
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| Block<br>Size | Freq(GHz) | Area(GE) | | --- | --- | --- | | TG | TG | |
| 120 | | --- | | 150 | | 180 |
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| #Sent. | es→en | en→fr | es→fr | | --- | --- | --- | --- | | 0 | 31.53 | 30.46 | 29.52 | | 1K | 32.64 | 30.29 | 30.23 |
| 10K | 32.92 | 30.93 | 31.51 | | --- | --- | --- | --- | | 50K | 33.29 | 31.57 | 32.40 | | 100K | 33.35 | 31.63 | 32.45 |
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| #Sent. | es→en | en→fr | es→fr | | --- | --- | --- | --- | | 0 | 31.53 | 30.46 | 29.52 | | 1K | 32.64 | 30.29 | 30.23 |
| Step | Free | Sending | Receiving | Active | | --- | --- | --- | --- | --- | | 1 | 50,634 | 1 | 18 | 19 | | 2 | 50,491 | 18 | 144 | 162 | | 3 | 49,807 | 144 | 702 | 846 | | 4 | 47,593 | 684 | 2,376 | 3,060 | | 5 | 42,661 | 2,160 | 5,832 | 7,992 | | 6 | 35,425 | 4,752 | 10,476 | 15,228 | | 7 | 29,809 | 7,236 | 13,608 | 20,844 | | 8 | 31,861 | 7,128 | 11,664 | 18,792 | | 9 | 40,933 | 3,888 | 5,832 | 9,720 | | Total | | 26,011 | 50,652 | |
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| #Sent. | es→en | en→fr | es→fr | | --- | --- | --- | --- | | 0 | 31.53 | 30.46 | 29.52 | | 1K | 32.64 | 30.29 | 30.23 | | 10K | 32.92 | 30.93 | 31.51 |
| 50K | 33.29 | 31.57 | 32.40 | | --- | --- | --- | --- | | 100K | 33.35 | 31.63 | 32.45 |
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| #Sent. | es→en | en→fr | es→fr | | --- | --- | --- | --- | | 0 | 31.53 | 30.46 | 29.52 | | 1K | 32.64 | 30.29 | 30.23 | | 10K | 32.92 | 30.93 | 31.51 |
| 3 | 49,807 | 144 | 702 | 846 | | --- | --- | --- | --- | --- | | 4 | 47,593 | 684 | 2,376 | 3,060 | | 5 | 42,661 | 2,160 | 5,832 | 7,992 | | 6 | 35,425 | 4,752 | 10,476 | 15,228 | | 7 | 29,809 | 7,236 | 13,608 | 20,844 | | 8 | 31,861 | 7,128 | 11,664 | 18,792 | | 9 | 40,933 | 3,888 | 5,832 | 9,720 | | Total | | 26,011 | 50,652 | |
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| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | | | --- | --- | --- | --- | --- | --- | | CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 | | coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 | | Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 | | Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 | | Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 | | MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 | | Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 | | uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |
| NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 | | --- | --- | --- | --- | --- | --- | | MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 | | friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 |
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| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | | | --- | --- | --- | --- | --- | --- | | CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 | | coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 | | Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 | | Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 | | Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 | | MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 | | Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 | | uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |
| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ | | --- | --- | --- | --- | | rmat20 | 1.05 | 8.26 | 1,1818177.40 | | road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 | | ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 | | Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |
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| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | | | --- | --- | --- | --- | --- | --- | | CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 | | coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 | | Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 | | Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 | | Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 | | MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 | | Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 | | uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |
| NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 | | --- | --- | --- | --- | --- | --- | | MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 | | friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 |
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| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | | | --- | --- | --- | --- | --- | --- | | CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 | | coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 | | Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 | | Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 | | Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 | | MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 | | Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 | | uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 | | --- | --- | --- | --- | | Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |
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| | ObjectDetection(AP) | Orientation(AOS) | | | | | | --- | --- | --- | --- | --- | --- | --- | | Methods | Easy | Moderate | Hard | Easy | Moderate | Hard | | Car | | | | | | | | RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 | | RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |
| Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 | | --- | --- | --- | --- | --- | --- | --- | | Pedestrian | | | | | | | | RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 | | RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 | | Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 | | Cyclist | | | | | | | | RPN+Ourdet.net(unshared) | 69.23 | 54.83 | 51.41 | 61.25 | 46.44 | 43.07 | | RPN+Ourdet.net(shared) | 71.24 | 56.69 | 52.91 | 63.21 | 48.68 | 45.16 | | Ours(unshared) | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |
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| | ObjectDetection(AP) | Orientation(AOS) | | | | | | --- | --- | --- | --- | --- | --- | --- | | Methods | Easy | Moderate | Hard | Easy | Moderate | Hard | | Car | | | | | | | | RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 | | RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |
| | ObjectDetection(AP) | Orientation(AOS) | | | | | | --- | --- | --- | --- | --- | --- | --- | | Methods | Easy | Moderate | Hard | Easy | Moderate | Hard | | Car | | | | | | | | RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A | | OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A | | Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A | | Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 | | OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 | | Pedestrian | | | | | | | | RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A | | OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A | | Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A | | Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 | | OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 | | Cyclist | | | | | | | | RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A | | OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A | | Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A | | Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 | | OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |
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| | ObjectDetection(AP) | Orientation(AOS) | | | | | | --- | --- | --- | --- | --- | --- | --- | | Methods | Easy | Moderate | Hard | Easy | Moderate | Hard | | Car | | | | | | | | RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 | | RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 | | Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 | | Pedestrian | | | | | | | | RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 | | RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 | | Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 | | Cyclist | | | | | | |
| RPN+Ourdet.net(unshared) | 69.23 | 54.83 | 51.41 | 61.25 | 46.44 | 43.07 | | --- | --- | --- | --- | --- | --- | --- | | RPN+Ourdet.net(shared) | 71.24 | 56.69 | 52.91 | 63.21 | 48.68 | 45.16 | | Ours(unshared) | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |
1
| | ObjectDetection(AP) | Orientation(AOS) | | | | | | --- | --- | --- | --- | --- | --- | --- | | Methods | Easy | Moderate | Hard | Easy | Moderate | Hard | | Car | | | | | | | | RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 | | RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 | | Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 | | Pedestrian | | | | | | | | RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 | | RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 | | Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 | | Cyclist | | | | | | |
| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 | | --- | --- | --- | --- | --- | --- | --- | | Pedestrian | | | | | | | | RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A | | OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A | | Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A | | Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 | | OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 | | Cyclist | | | | | | | | RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A | | OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A | | Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A | | Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 | | OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |
0
| Environment | RunTime(s) | | --- | --- | | IB(w/oDMTCP) | 26.61 | | DMTCP/IB(w/oIB2TCP) | 27.81 | | DMTCP/IB2TCP/IB | 27.38 |
| DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 | | --- | --- | | DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 |
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| Environment | RunTime(s) | | --- | --- | | IB(w/oDMTCP) | 26.61 | | DMTCP/IB(w/oIB2TCP) | 27.81 | | DMTCP/IB2TCP/IB | 27.38 |
| Machine | Compiler | MPI | | --- | --- | --- | | BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) | | Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 | | Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 | | XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 | | SGIICEXA | Intel15.0.5 | SGIMPT2.14 |
0
| Environment | RunTime(s) | | --- | --- | | IB(w/oDMTCP) | 26.61 | | DMTCP/IB(w/oIB2TCP) | 27.81 |
| DMTCP/IB2TCP/IB | 27.38 | | --- | --- | | DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 | | DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 |
1
| Environment | RunTime(s) | | --- | --- | | IB(w/oDMTCP) | 26.61 | | DMTCP/IB(w/oIB2TCP) | 27.81 |
| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 | | --- | --- | --- | | Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 | | XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 | | SGIICEXA | Intel15.0.5 | SGIMPT2.14 |
0
| No | Fieldname | Fielddescription | | --- | --- | --- | | 1. | specObjID | UniqueID | | 2. | z | FinalRedShift | | 3. | ra | Rightascention | | 4. | dec | Declination |
| 5. | cx | xofNormalunitvector | | --- | --- | --- | | 6. | cy | yofNormalunitvector | | 7. | cz | zofNormalunitvector | | 8. | primTarget | primetargetcategories | | 9. | objType | objecttype:Galaxy=0 | | 10. | modelMagu | Ultravioletmagniutde | | 11. | modelMagr | RedLightmagnitude |
1
| No | Fieldname | Fielddescription | | --- | --- | --- | | 1. | specObjID | UniqueID | | 2. | z | FinalRedShift | | 3. | ra | Rightascention | | 4. | dec | Declination |
| CameraModel | Training | Validation | Test | | --- | --- | --- | --- | | AS-One | 90000 | 25500 | 12500 | | ES-D5100 | 37500 | 10500 | 5000 | | MK-Powershot | 35000 | 10000 | 5000 | | MK-s860 | 35500 | 10000 | 5000 | | PAR-1233 | 71000 | 20000 | 10000 | | PAR-1476 | 107000 | 30500 | 15000 | | PAR-1477 | 70000 | 20000 | 9500 | | PAR-A015 | 40500 | 11500 | 5500 | | PAR-A075 | 26000 | 7000 | 3500 | | PAR-A106 | 54000 | 15500 | 7500 |
0
| No | Fieldname | Fielddescription | | --- | --- | --- | | 1. | specObjID | UniqueID |
| 2. | z | FinalRedShift | | --- | --- | --- | | 3. | ra | Rightascention | | 4. | dec | Declination | | 5. | cx | xofNormalunitvector | | 6. | cy | yofNormalunitvector | | 7. | cz | zofNormalunitvector | | 8. | primTarget | primetargetcategories | | 9. | objType | objecttype:Galaxy=0 | | 10. | modelMagu | Ultravioletmagniutde | | 11. | modelMagr | RedLightmagnitude |
1
| No | Fieldname | Fielddescription | | --- | --- | --- | | 1. | specObjID | UniqueID |
| MK-s860 | 35500 | 10000 | 5000 | | --- | --- | --- | --- | | PAR-1233 | 71000 | 20000 | 10000 | | PAR-1476 | 107000 | 30500 | 15000 | | PAR-1477 | 70000 | 20000 | 9500 | | PAR-A015 | 40500 | 11500 | 5500 | | PAR-A075 | 26000 | 7000 | 3500 | | PAR-A106 | 54000 | 15500 | 7500 |
0
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 | | --- | | -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 | | -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 | | -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 | | --- | | -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 | | -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 | | -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 | | -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |
1
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 | | --- | | -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 | | -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 | | -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 | | --- | | -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 | | -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 | | -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 | | -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 | | -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 | | -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 | | -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 | | -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |
0
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 | | --- | | -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 | | -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 | | -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 | | --- | | -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 | | -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 | | -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 | | -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |
1
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 | | --- | | -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 | | -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 | | -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |
| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 | | --- | | -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 | | -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 | | -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 | | -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 | | -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 | | -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 | | -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 | | -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 | | -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 | | -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 | | -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |
0
| 4features | | | | | --- | --- | --- | --- | | Class | A | B | C |
| A | 0.97 | 0.38 | 0.08 | | --- | --- | --- | --- | | B | 0.38 | 0.73 | 0.66 | | C | 0.08 | 0.66 | 0.89 |
1
| 4features | | | | | --- | --- | --- | --- | | Class | A | B | C |
| 4features | | | | | --- | --- | --- | --- | | Class | A | B | C | | A | 0.68 | 0.27 | 0.06 | | B | 0.22 | 0.41 | 0.37 | | C | 0.05 | 0.40 | 0.55 |
0
| 4features | | | | | --- | --- | --- | --- | | Class | A | B | C |
| A | 0.97 | 0.38 | 0.08 | | --- | --- | --- | --- | | B | 0.38 | 0.73 | 0.66 | | C | 0.08 | 0.66 | 0.89 |
1
| 4features | | | | | --- | --- | --- | --- | | Class | A | B | C |
| A | 0.68 | 0.27 | 0.06 | | --- | --- | --- | --- | | B | 0.22 | 0.41 | 0.37 | | C | 0.05 | 0.40 | 0.55 |
0
| Non-EnglishorMath | Frequency | Comments | | --- | --- | --- | | Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | --- | --- | --- | | $ | 4in5 | Usedinbusiness | | Ψ | 1in40,000 | Unexplainedusage |
1
| Non-EnglishorMath | Frequency | Comments | | --- | --- | --- | | Ø | 1in1,000 | ForSwedishnames |
| Non-EnglishorMath | Frequency | Comments | | --- | --- | --- | | Ø | 1in1,000 | ForSwedishnames | | π | 1in5 | Commoninmath | | $ | 4in5 | Usedinbusiness | | Ψ | 1in40,000 | Unexplainedusage |
0
| Non-EnglishorMath | Frequency | Comments | | --- | --- | --- | | Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | --- | --- | --- | | $ | 4in5 | Usedinbusiness | | Ψ | 1in40,000 | Unexplainedusage |
1
| Non-EnglishorMath | Frequency | Comments | | --- | --- | --- | | Ø | 1in1,000 | ForSwedishnames |
| $ | 4in5 | Usedinbusiness | | --- | --- | --- | | Ψ | 1in40,000 | Unexplainedusage |
0
| Pattern<br>Size | Algorithm | System1 | System2 | System3 | | --- | --- | --- | --- | --- | | 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 | | 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |
| 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 | | --- | --- | --- | --- | --- | | 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 | | 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 | | 14 | HAL<br>L<br>NHAL<br>SF | 42.9195<br>7.1132<br>23.5262<br>4.48911 | 78.1701<br>28.5491<br>47.5818<br>9.80043 | 149.234<br>41.0393<br>136.798<br>22.7996 | | 18 | HAL<br>L<br>NHAL<br>SF | 47.51862<br>7.144521<br>26.4274<br>4.48312 | 96.9324<br>28.1684<br>56.8225<br>9.80864 | 173.458<br>41.1963<br>164.785<br>22.8868 |
1
| Pattern<br>Size | Algorithm | System1 | System2 | System3 | | --- | --- | --- | --- | --- | | 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 | | 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |
| Pattern<br>Size | Algorithm | System1 | System2 | System3 | | --- | --- | --- | --- | --- | | 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 | | 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 | | 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 | | 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 | | 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |
0
| Pattern<br>Size | Algorithm | System1 | System2 | System3 | | --- | --- | --- | --- | --- | | 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 | | 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 | | 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 | | 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 | | 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 |
| 14 | HAL<br>L<br>NHAL<br>SF | 42.9195<br>7.1132<br>23.5262<br>4.48911 | 78.1701<br>28.5491<br>47.5818<br>9.80043 | 149.234<br>41.0393<br>136.798<br>22.7996 | | --- | --- | --- | --- | --- | | 18 | HAL<br>L<br>NHAL<br>SF | 47.51862<br>7.144521<br>26.4274<br>4.48312 | 96.9324<br>28.1684<br>56.8225<br>9.80864 | 173.458<br>41.1963<br>164.785<br>22.8868 |
1
| Pattern<br>Size | Algorithm | System1 | System2 | System3 | | --- | --- | --- | --- | --- | | 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 | | 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 | | 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 | | 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 | | 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 |
| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 | | --- | --- | --- | --- | --- | | 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 | | 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |
0
| n | tn | | --- | --- | | 8 | 560 | | 9 | 5040 | | 10 | 957600 | | 11 | 123354000 | | 12 | 16842764400 | | 13 | 2764379217600 | | 14 | 527554510282800 | | 15 | 114387072405606000 | | 16 | 27728561968887780000 | | 17 | 7418031804967840056000 |
| 18 | 2167306256125914230527200 | | --- | --- | | 19 | 685709965521372865035362400 | | 20 | 233306923207078035272369412000 |
1
| n | tn | | --- | --- | | 8 | 560 | | 9 | 5040 | | 10 | 957600 | | 11 | 123354000 | | 12 | 16842764400 | | 13 | 2764379217600 | | 14 | 527554510282800 | | 15 | 114387072405606000 | | 16 | 27728561968887780000 | | 17 | 7418031804967840056000 |
| n | tn | | --- | --- | | 8 | 560 | | 9 | 191520 | | 10 | 42058800 | | 11 | 7864256400 | | 12 | 1407126890400 | | 13 | 257752421166240 | | 14 | 50607986220311520 | | 15 | 10995419195575214400 | | 16 | 2692773804667509763200 | | 17 | 747221542837742897724800 | | 18 | 233698171655650029030743040 | | 19 | 81472765051132560093387934080 | | 20 | 31268587126068905034073041062400 |
0
| n | tn | | --- | --- | | 8 | 560 | | 9 | 5040 | | 10 | 957600 | | 11 | 123354000 | | 12 | 16842764400 | | 13 | 2764379217600 | | 14 | 527554510282800 | | 15 | 114387072405606000 | | 16 | 27728561968887780000 | | 17 | 7418031804967840056000 |
| 18 | 2167306256125914230527200 | | --- | --- | | 19 | 685709965521372865035362400 | | 20 | 233306923207078035272369412000 |
1
| n | tn | | --- | --- | | 8 | 560 | | 9 | 5040 | | 10 | 957600 | | 11 | 123354000 | | 12 | 16842764400 | | 13 | 2764379217600 | | 14 | 527554510282800 | | 15 | 114387072405606000 | | 16 | 27728561968887780000 | | 17 | 7418031804967840056000 |
| 19 | 81472765051132560093387934080 | | --- | --- | | 20 | 31268587126068905034073041062400 |
0
| Accuracy | | | --- | --- | | Pred.Events | GTEvents |
| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- | | --- | --- | --- | | Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- | | Ours | 0.765 | 0.793 |
1
| Accuracy | | | --- | --- | | Pred.Events | GTEvents |
| Network | #Predicted | #Matched | #Derivable | #Derived | Pr | | --- | --- | --- | --- | --- | --- | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |
0
| Accuracy | | | | --- | --- | --- | | Pred.Events | GTEvents | | | LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |
| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- | | --- | --- | --- | | Ours | 0.765 | 0.793 |
1
| Accuracy | | | | --- | --- | --- | | Pred.Events | GTEvents | | | LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 | | --- | --- | --- | --- | --- | --- | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |
0
| Datasets | Samples | Classes | Subjects | Views | Sensor | | --- | --- | --- | --- | --- | --- | | MSR-Action3D | 567 | 20 | 10 | 1 | N/A | | CAD-60 | 60 | 12 | 4 | - | Kinectv1 | | RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 | | MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |
| Act4 | 6844 | 14 | 24 | 4 | Kinectv1 | | --- | --- | --- | --- | --- | --- | | CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 | | 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 | | Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 | | OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 | | Northwestern-UCLA | 1475 | 10 | 10 | 3 | Kinectv1 | | UWA3DMultiview | ∼900 | 30 | 10 | 1 | Kinectv1 | | OfficeActivity | 1180 | 20 | 10 | 3 | Kinectv1 | | UTD-MHAD | 861 | 27 | 8 | 1 | Kinectv1+WIS | | UWA3DMultiviewII | 1075 | 30 | 10 | 5 | Kinectv1 | | NTURGB+D | 56880 | 60 | 40 | 80 | Kinectv2 |
1
| Datasets | Samples | Classes | Subjects | Views | Sensor | | --- | --- | --- | --- | --- | --- | | MSR-Action3D | 567 | 20 | 10 | 1 | N/A | | CAD-60 | 60 | 12 | 4 | - | Kinectv1 | | RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 | | MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |
| Method | Scene1 | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 | | P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 | | P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene2 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 | | P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 | | P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene3 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 | | P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 | | P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene4 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 | | P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 | | P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene5 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 | | P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 | | P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |
0
| Datasets | Samples | Classes | Subjects | Views | Sensor | | --- | --- | --- | --- | --- | --- | | MSR-Action3D | 567 | 20 | 10 | 1 | N/A | | CAD-60 | 60 | 12 | 4 | - | Kinectv1 | | RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 | | MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 | | Act4 | 6844 | 14 | 24 | 4 | Kinectv1 | | CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 | | 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 | | Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |
| OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 | | --- | --- | --- | --- | --- | --- | | Northwestern-UCLA | 1475 | 10 | 10 | 3 | Kinectv1 | | UWA3DMultiview | ∼900 | 30 | 10 | 1 | Kinectv1 | | OfficeActivity | 1180 | 20 | 10 | 3 | Kinectv1 | | UTD-MHAD | 861 | 27 | 8 | 1 | Kinectv1+WIS | | UWA3DMultiviewII | 1075 | 30 | 10 | 5 | Kinectv1 | | NTURGB+D | 56880 | 60 | 40 | 80 | Kinectv2 |
1
| Datasets | Samples | Classes | Subjects | Views | Sensor | | --- | --- | --- | --- | --- | --- | | MSR-Action3D | 567 | 20 | 10 | 1 | N/A | | CAD-60 | 60 | 12 | 4 | - | Kinectv1 | | RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 | | MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 | | Act4 | 6844 | 14 | 24 | 4 | Kinectv1 | | CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 | | 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 | | Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |
| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |
0
| Features | ALL | PER | ORG | GPE | TITL | FAC | | --- | --- | --- | --- | --- | --- | --- | | Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 | | Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |
| Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 | | --- | --- | --- | --- | --- | --- | --- | | All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 |
1
| Features | ALL | PER | ORG | GPE | TITL | FAC | | --- | --- | --- | --- | --- | --- | --- | | Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 | | Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |
| Feature | Non-toptier | Toptier | | | | --- | --- | --- | --- | --- | | Mean | Std.Dev. | Mean | Std.Dev. | | | CRDI | 0.25 | 0.259 | 0.173 | 0.178 | | CKDI | 0.536 | 0.504 | 0.396 | 0.419 | | CADI | 0.121 | 0.146 | 0.076 | 0.068 | | PNA | 0.1 | 0.077 | 0.097 | 0.068 | | CAAI | 0.206 | 0.232 | 0.175 | 0.16 | | DDI | 0.386 | 0.323 | 0.335 | 0.28 | | EDI | 0.323 | 0.292 | 0.23 | 0.265 | | ACC | 0.02 | 0.034 | 0.018 | 0.019 | | ABC | 0.034 | 0.087 | 0.015 | 0.034 |
0
| Features | ALL | PER | ORG | GPE | TITL | FAC | | --- | --- | --- | --- | --- | --- | --- | | Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |
| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 | | --- | --- | --- | --- | --- | --- | --- | | Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 | | All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 |
1
| Features | ALL | PER | ORG | GPE | TITL | FAC | | --- | --- | --- | --- | --- | --- | --- | | Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |
| PNA | 0.1 | 0.077 | 0.097 | 0.068 | | --- | --- | --- | --- | --- | | CAAI | 0.206 | 0.232 | 0.175 | 0.16 | | DDI | 0.386 | 0.323 | 0.335 | 0.28 | | EDI | 0.323 | 0.292 | 0.23 | 0.265 | | ACC | 0.02 | 0.034 | 0.018 | 0.019 | | ABC | 0.034 | 0.087 | 0.015 | 0.034 |
0
| Erabiltzailea | Txiokopurua | | --- | --- | | @idorrokia | 1085 | | @EuskalakariAEK | 910 | | @korrikaaek | 614 | | @HamaikaTb | 444 | | @EAPortugalete | 239 | | @naizinfo | 233 | | @gaztea | 227 |
| @berria | 216 | | --- | --- | | @euskalirratiak | 208 | | @anabarri72 | 204 |
1
| Erabiltzailea | Txiokopurua | | --- | --- | | @idorrokia | 1085 | | @EuskalakariAEK | 910 | | @korrikaaek | 614 | | @HamaikaTb | 444 | | @EAPortugalete | 239 | | @naizinfo | 233 | | @gaztea | 227 |
| Dice-coefficient | NameOne | NameTwo | | --- | --- | --- | | 0.7385 | baiden-amissah | tuzzolino | | 0.7429 | castrechini | prawirohardjo | | 0.7500 | eykhof | sliz | | 0.7429 | keays | goeby | | 0.7586 | lera | pagni | | 0.7391 | tempalar | sedcole |
0
| Erabiltzailea | Txiokopurua | | --- | --- | | @idorrokia | 1085 | | @EuskalakariAEK | 910 | | @korrikaaek | 614 |
| @HamaikaTb | 444 | | --- | --- | | @EAPortugalete | 239 | | @naizinfo | 233 | | @gaztea | 227 | | @berria | 216 | | @euskalirratiak | 208 | | @anabarri72 | 204 |
1
| Erabiltzailea | Txiokopurua | | --- | --- | | @idorrokia | 1085 | | @EuskalakariAEK | 910 | | @korrikaaek | 614 |
| 0.7500 | eykhof | sliz | | --- | --- | --- | | 0.7429 | keays | goeby | | 0.7586 | lera | pagni | | 0.7391 | tempalar | sedcole |
0
| Type | | --- | | 1×1conv | | 3×3conv<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 1×1conv |
| globalaverage-pooling | | --- | | softmax10 |
1
| Type | | --- | | 1×1conv | | 3×3conv<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 1×1conv |
| Layer | LayerType | Size | OutputShape | | --- | --- | --- | --- | | 1 | Convolution+Maxout | 488×8filters | | | 1 | MaxPooling | 4×4,stride2 | (48,10,10) | | 2 | Convolution+Maxout | 488×8filters | | | 2 | MaxPooling | 4×4,stride2 | (48,4,4) | | 3 | Convolution+Maxout | 245×5filters | | | 3 | MaxPooling | 2×2,stride2 | (24,3,3) | | 4 | Softmax | 121way | 121 |
0
| Type | | --- | | 1×1conv | | 3×3conv<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 1×1conv |
| globalaverage-pooling | | --- | | softmax10 |
1
| Type | | --- | | 1×1conv | | 3×3conv<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 3×3conv,stride2<br>3×3conv | | 1×1conv |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) | | --- | --- | --- | --- | | 3 | Convolution+Maxout | 245×5filters | | | 3 | MaxPooling | 2×2,stride2 | (24,3,3) | | 4 | Softmax | 121way | 121 |
0
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path | | --- | --- | --- | | All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l | | Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l |
| Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l | | --- | --- | --- | | Attributedroot-paths | N/A | O(hmax\|V\|)(n+d+h)l | | Attributedlinearroot-paths | N/A | O(\|V\|hnd) | | Pointcloudkernel | N/A | O(\|V\|nd) |
1
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path | | --- | --- | --- | | All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l | | Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l |
| Variable | Description | | --- | --- | | V | setofnodesinagraph | | E | setofedgesinagraph | | B(e) | edgecapacityforedgee | | C(v) | nodecapacityfornodev | | D | thesetofflowdemands | | δ(v) | theedgesleavingvertexv | | δ(v) | theedgesenteringvertexv | | P | thesetofwalksfromsourcestodestinations | | p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv | | f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii | | w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii | | p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow |
0
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path | | --- | --- | --- | | All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l | | Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l | | Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l |
| Attributedroot-paths | N/A | O(hmax\|V\|)(n+d+h)l | | --- | --- | --- | | Attributedlinearroot-paths | N/A | O(\|V\|hnd) | | Pointcloudkernel | N/A | O(\|V\|nd) |
1
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path | | --- | --- | --- | | All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l | | Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l | | Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l |
| p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv | | --- | --- | | f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii | | w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii | | p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow |
0
| MAP@Top500 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 | | 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 | | 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 | | 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 | | 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 | | 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 | | 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |
1
| MAP@Top500 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| MAP@Top500 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 | | 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 | | 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 | | 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 | | 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 | | 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 | | 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 | | 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 | | 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |
0
| MAP@Top500 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 | | 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 | | 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |
| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 | | 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 | | 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 | | 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 | | 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |
1
| MAP@Top500 | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 | | 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 | | 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |
| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 | | 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |
0