premise string | hypothesis string | label int64 |
|---|---|---|
| ID | Name | TimeInterval |
| --- | --- | --- |
| 0 | Morning | 6:00∼9:00 | | | 1 | Forenoon | 9:00∼12:00 |
| --- | --- | --- |
| 2 | Noon | 12:00∼14:00 |
| 3 | Afternoon | 14:00∼17:00 |
| 4 | Evening | 17:00∼21:00 |
| 5 | Night | 21:00∼24:00 |
| 6 | Midnight | 0:00∼6:00 |
| 7 | Weekday | Monday∼Friday |
| 8 | Weekend | Saturday,Sunday | | 1 |
| ID | Name | TimeInterval |
| --- | --- | --- |
| 0 | Morning | 6:00∼9:00 | | | DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |
| --- | --- | --- | --- | --- | --- |
| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |
| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |
| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |
| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |
| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |
| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |
| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 | | 0 |
| ID | Name | TimeInterval |
| --- | --- | --- |
| 0 | Morning | 6:00∼9:00 |
| 1 | Forenoon | 9:00∼12:00 | | | 2 | Noon | 12:00∼14:00 |
| --- | --- | --- |
| 3 | Afternoon | 14:00∼17:00 |
| 4 | Evening | 17:00∼21:00 |
| 5 | Night | 21:00∼24:00 |
| 6 | Midnight | 0:00∼6:00 |
| 7 | Weekday | Monday∼Friday |
| 8 | Weekend | Saturday,Sunday | | 1 |
| ID | Name | TimeInterval |
| --- | --- | --- |
| 0 | Morning | 6:00∼9:00 |
| 1 | Forenoon | 9:00∼12:00 | | | Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |
| --- | --- | --- | --- | --- | --- |
| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |
| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |
| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |
| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 | | 0 |
| metrics |
| --- |
| RMSE<br>ACC | | | RMSE<br>ACC |
| --- |
| RMSE<br>ACC |
| RMSE<br>ACC | | 1 |
| metrics |
| --- |
| RMSE<br>ACC | | | Features | RMSE |
| --- | --- |
| COL | 0.155±0.001 |
| ST | 0.146±0.002 |
| SAL | 0.142±0.002 |
| DL(C3D) | 0.140±0.002 |
| SEM | 0.138±0.003 |
| DL+ST+SAL+COL | 0.136±0.001 |
| SEM+ST+SAL+COL | 0.135±0.001 | | 0 |
| metrics |
| --- |
| RMSE<br>ACC | | | RMSE<br>ACC |
| --- |
| RMSE<br>ACC |
| RMSE<br>ACC | | 1 |
| metrics |
| --- |
| RMSE<br>ACC | | | SAL | 0.142±0.002 |
| --- | --- |
| DL(C3D) | 0.140±0.002 |
| SEM | 0.138±0.003 |
| DL+ST+SAL+COL | 0.136±0.001 |
| SEM+ST+SAL+COL | 0.135±0.001 | | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| --- |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | | -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| --- |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | | -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| --- |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 0 |
| LexicalFeatures |
| --- |
| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |
| StructuralFeatures | | | seeTable3 |
| --- |
| GrammaticalFeatures |
| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |
| OtherFeatures |
| speakerrole<br>topic | | 1 |
| LexicalFeatures |
| --- |
| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |
| StructuralFeatures | | | | PDTB-basedDataSet | SEW-basedDataSet |
| --- | --- | --- |
| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |
| #ofpairsofarticles | 378 | 1988 |
| #ofpositivepairs | 194 | 944 |
| #ofnegativepairs | 184 | 944 |
| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser | | 0 |
| LexicalFeatures |
| --- |
| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |
| StructuralFeatures |
| seeTable3 |
| GrammaticalFeatures | | | part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |
| --- |
| OtherFeatures |
| speakerrole<br>topic | | 1 |
| LexicalFeatures |
| --- |
| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |
| StructuralFeatures |
| seeTable3 |
| GrammaticalFeatures | | | #ofpositivepairs | 194 | 944 |
| --- | --- | --- |
| #ofnegativepairs | 184 | 944 |
| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser | | 0 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion | | | 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion |
| --- | --- | --- |
| 3 | thechildmetthehouse | thechildvisitedthehouse |
| 4 | thechildmetthehouse | thechildsatisfiedthehouse |
| 5 | thechildshowedinterest | thechildpicturedinterest |
| 6 | thechildshowedinterest | thechildexpressedinterest |
| 7 | themapshowedthelocation | themappicturedthelocation |
| 8 | themapshowedthelocation | themapexpressedthelocation | | 1 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion | | | | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | tableshowresult | tableexpressresult |
| 2 | tableshowresult | tablepictureresult |
| 3 | mapshowlocation | mappicturelocation |
| 4 | mapshowlocation | mapexpresslocation |
| 5 | childshowinterest | childpictureinterest |
| 6 | childshowinterest | childexpressinterest | | 0 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |
| 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion |
| 3 | thechildmetthehouse | thechildvisitedthehouse |
| 4 | thechildmetthehouse | thechildsatisfiedthehouse | | | 5 | thechildshowedinterest | thechildpicturedinterest |
| --- | --- | --- |
| 6 | thechildshowedinterest | thechildexpressedinterest |
| 7 | themapshowedthelocation | themappicturedthelocation |
| 8 | themapshowedthelocation | themapexpressedthelocation | | 1 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |
| 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion |
| 3 | thechildmetthehouse | thechildvisitedthehouse |
| 4 | thechildmetthehouse | thechildsatisfiedthehouse | | | 2 | tableshowresult | tablepictureresult |
| --- | --- | --- |
| 3 | mapshowlocation | mappicturelocation |
| 4 | mapshowlocation | mapexpresslocation |
| 5 | childshowinterest | childpictureinterest |
| 6 | childshowinterest | childexpressinterest | | 0 |
| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |
| --- | --- |
| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 | | | GBF<br>ProposedADF<br>ProposedDBF | 37.5033.8631.0328.9726.23<br>37.2433.8931.2629.4926.76<br>38.4534.2031.9430.0327.26 |
| --- | --- |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1322.1118.6016.1014.15 |
| GBF<br>ProposedADF<br>ProposedDBF | 38.6934.8531.7629.2426.81<br>37.4134.6331.3529.5127.12<br>39.1435.3932.9030.5728.00 | | 1 |
| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |
| --- | --- |
| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 | | | Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |
| --- | --- | --- | --- | --- |
| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |
| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |
| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |
| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |
| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |
| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 | | 0 |
| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |
| --- | --- |
| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 | | | GBF<br>ProposedADF<br>ProposedDBF | 37.5033.8631.0328.9726.23<br>37.2433.8931.2629.4926.76<br>38.4534.2031.9430.0327.26 |
| --- | --- |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1322.1118.6016.1014.15 |
| GBF<br>ProposedADF<br>ProposedDBF | 38.6934.8531.7629.2426.81<br>37.4134.6331.3529.5127.12<br>39.1435.3932.9030.5728.00 | | 1 |
| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |
| --- | --- |
| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |
| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 | | | “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |
| --- | --- | --- | --- | --- |
| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 | | 0 |
| Name | n | GCusing | Proposedapproach | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | GC | QC | Time(sec) | | |
| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |
| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |
| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |
| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |
| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |
| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |
| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |
| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |
| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |
| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |
| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |
| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |
| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |
| mod5 | 5 | – | – | – | 7 | 15 | 6.23 | | | 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 4mod5miller | 5 | 5 | – | – | 5 | 13 | 0.78 |
| graycode | 6 | – | 5 | – | 5 | 5 | 2.22 |
| permanent2x2 | 6 | – | – | – | 3 | 23 | 1.24 | | 1 |
| Name | n | GCusing | Proposedapproach | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | GC | QC | Time(sec) | | |
| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |
| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |
| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |
| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |
| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |
| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |
| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |
| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |
| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |
| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |
| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |
| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |
| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |
| mod5 | 5 | – | – | – | 7 | 15 | 6.23 | | | n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |
| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |
| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |
| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |
| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 | | 0 |
| Name | n | GCusing | Proposedapproach | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | GC | QC | Time(sec) | | |
| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |
| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |
| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |
| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |
| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |
| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |
| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |
| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |
| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |
| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |
| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |
| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |
| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |
| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |
| 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 | | | 4mod5miller | 5 | 5 | – | – | 5 | 13 | 0.78 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| graycode | 6 | – | 5 | – | 5 | 5 | 2.22 |
| permanent2x2 | 6 | – | – | – | 3 | 23 | 1.24 | | 1 |
| Name | n | GCusing | Proposedapproach | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | GC | QC | Time(sec) | | |
| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |
| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |
| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |
| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |
| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |
| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |
| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |
| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |
| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |
| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |
| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |
| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |
| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |
| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |
| 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 | | | 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |
| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |
| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |
| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |
| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 | | 0 |
| year | nr.papers | nr.authors | nr.links | avg.clustering |
| --- | --- | --- | --- | --- |
| 2001 | 4 | 9 | 6 | 0.37 |
| 2002 | 3 | 10 | 13 | 0.8 |
| 2003 | 5 | 12 | 9 | 0.4 |
| 2004 | 13 | 39 | 47 | 0.65 |
| 2005 | 7 | 22 | 26 | 0.81 |
| 2006 | 11 | 33 | 39 | 0.73 |
| 2007 | 4 | 15 | 24 | 1.0 |
| 2008 | 7 | 15 | 9 | 0.2 |
| 2009 | 10 | 34 | 60 | 0.68 |
| 2010 | 8 | 21 | 19 | 0.61 |
| 2011 | 8 | 32 | 59 | 0.80 |
| 2012 | 6 | 26 | 56 | 0.92 |
| 2013 | 5 | 18 | 31 | 0.86 |
| 2014 | 6 | 16 | 13 | 0.85 | | | 2015 | 9 | 24 | 23 | 0.58 |
| --- | --- | --- | --- | --- |
| 2016 | 17 | 60 | 114 | 0.75 | | 1 |
| year | nr.papers | nr.authors | nr.links | avg.clustering |
| --- | --- | --- | --- | --- |
| 2001 | 4 | 9 | 6 | 0.37 |
| 2002 | 3 | 10 | 13 | 0.8 |
| 2003 | 5 | 12 | 9 | 0.4 |
| 2004 | 13 | 39 | 47 | 0.65 |
| 2005 | 7 | 22 | 26 | 0.81 |
| 2006 | 11 | 33 | 39 | 0.73 |
| 2007 | 4 | 15 | 24 | 1.0 |
| 2008 | 7 | 15 | 9 | 0.2 |
| 2009 | 10 | 34 | 60 | 0.68 |
| 2010 | 8 | 21 | 19 | 0.61 |
| 2011 | 8 | 32 | 59 | 0.80 |
| 2012 | 6 | 26 | 56 | 0.92 |
| 2013 | 5 | 18 | 31 | 0.86 |
| 2014 | 6 | 16 | 13 | 0.85 | | | Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |
| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |
| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |
| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |
| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |
| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |
| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 | | 0 |
| year | nr.papers | nr.authors | nr.links | avg.clustering |
| --- | --- | --- | --- | --- |
| 2001 | 4 | 9 | 6 | 0.37 |
| 2002 | 3 | 10 | 13 | 0.8 |
| 2003 | 5 | 12 | 9 | 0.4 |
| 2004 | 13 | 39 | 47 | 0.65 |
| 2005 | 7 | 22 | 26 | 0.81 |
| 2006 | 11 | 33 | 39 | 0.73 |
| 2007 | 4 | 15 | 24 | 1.0 |
| 2008 | 7 | 15 | 9 | 0.2 |
| 2009 | 10 | 34 | 60 | 0.68 |
| 2010 | 8 | 21 | 19 | 0.61 |
| 2011 | 8 | 32 | 59 | 0.80 |
| 2012 | 6 | 26 | 56 | 0.92 | | | 2013 | 5 | 18 | 31 | 0.86 |
| --- | --- | --- | --- | --- |
| 2014 | 6 | 16 | 13 | 0.85 |
| 2015 | 9 | 24 | 23 | 0.58 |
| 2016 | 17 | 60 | 114 | 0.75 | | 1 |
| year | nr.papers | nr.authors | nr.links | avg.clustering |
| --- | --- | --- | --- | --- |
| 2001 | 4 | 9 | 6 | 0.37 |
| 2002 | 3 | 10 | 13 | 0.8 |
| 2003 | 5 | 12 | 9 | 0.4 |
| 2004 | 13 | 39 | 47 | 0.65 |
| 2005 | 7 | 22 | 26 | 0.81 |
| 2006 | 11 | 33 | 39 | 0.73 |
| 2007 | 4 | 15 | 24 | 1.0 |
| 2008 | 7 | 15 | 9 | 0.2 |
| 2009 | 10 | 34 | 60 | 0.68 |
| 2010 | 8 | 21 | 19 | 0.61 |
| 2011 | 8 | 32 | 59 | 0.80 |
| 2012 | 6 | 26 | 56 | 0.92 | | | 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |
| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |
| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |
| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 | | 0 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.765 | baban | murati | | | 0.769 | diz | pats |
| --- | --- | --- |
| 0.744 | himarios | nikezic |
| 0.757 | lebris | ravino |
| 0.750 | singsuk | lebudel |
| 0.750 | waku | arrama | | 1 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.765 | baban | murati | | | Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.7347 | blocklar | sahinagic |
| 0.7458 | frankenfeld | dhumatkar |
| 0.7429 | kolin | wendly |
| 0.7429 | lehky | turcon |
| 0.7368 | quinney | foica |
| 0.7407 | runt | meij | | 0 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.765 | baban | murati |
| 0.769 | diz | pats |
| 0.744 | himarios | nikezic | | | 0.757 | lebris | ravino |
| --- | --- | --- |
| 0.750 | singsuk | lebudel |
| 0.750 | waku | arrama | | 1 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.765 | baban | murati |
| 0.769 | diz | pats |
| 0.744 | himarios | nikezic | | | 0.7458 | frankenfeld | dhumatkar |
| --- | --- | --- |
| 0.7429 | kolin | wendly |
| 0.7429 | lehky | turcon |
| 0.7368 | quinney | foica |
| 0.7407 | runt | meij | | 0 |
| | Fragmenterrorrate | |
| --- | --- | --- |
| z(m) | MLP | CNN(proposal) | | | 0.05 | 8.42×10 | 1.52×10 |
| --- | --- | --- |
| 0.1 | 5.07×10 | 5.84×10 |
| 0.15 | 1.88×10 | 2.45×10 | | 1 |
| | Fragmenterrorrate | |
| --- | --- | --- |
| z(m) | MLP | CNN(proposal) | | | #Parameters | MaxMin-CNN | Simple-CNN |
| --- | --- | --- |
| ≈30K | 73.81 | 69.98 |
| ≈15K | 78.13 | 74.44 |
| ≈60K | 80.03 | 77.01 |
| ≈2M | 81.68 | 78.11 |
| ≈5M | 82.07 | 79.48 |
| ≈15M | 82.69 | 80.13 |
| ≈45M | 82.98 | 80.41 | | 0 |
| | Fragmenterrorrate | |
| --- | --- | --- |
| z(m) | MLP | CNN(proposal) |
| 0.05 | 8.42×10 | 1.52×10 | | | 0.1 | 5.07×10 | 5.84×10 |
| --- | --- | --- |
| 0.15 | 1.88×10 | 2.45×10 | | 1 |
| | Fragmenterrorrate | |
| --- | --- | --- |
| z(m) | MLP | CNN(proposal) |
| 0.05 | 8.42×10 | 1.52×10 | | | ≈60K | 80.03 | 77.01 |
| --- | --- | --- |
| ≈2M | 81.68 | 78.11 |
| ≈5M | 82.07 | 79.48 |
| ≈15M | 82.69 | 80.13 |
| ≈45M | 82.98 | 80.41 | | 0 |
| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) | | | |
| --- | --- | --- | --- | --- |
| TheLPAC-ColdModel | | | | |
| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |
| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |
| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |
| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |
| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 | | | ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |
| --- | --- | --- | --- | --- |
| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |
| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |
| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |
| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |
| TheLPAC-WarmModel | | | | |
| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |
| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |
| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |
| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |
| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 |
| ieee57 | 0.9987 | 0.002138 | 0.005515 | 0.59 |
| ieee118 | 0.9999 | 0.0001961 | 0.001303 | 0.1344 |
| ieeedd17 | 0.9858 | 0.01204 | 0.02597 | 2.796 |
| ieeedd17m | 0.9760 | 0.009819 | 0.02037 | 2.067 |
| mp300 | 0.9967 | 0.002477 | 0.01403 | 1.52 | | 1 |
| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) | | | |
| --- | --- | --- | --- | --- |
| TheLPAC-ColdModel | | | | |
| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |
| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |
| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |
| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |
| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 | | | Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |
| --- | --- | --- | --- | --- | --- | --- |
| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |
| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |
| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |
| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |
| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |
| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) | | | |
| --- | --- | --- | --- | --- |
| TheLPAC-ColdModel | | | | |
| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |
| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |
| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |
| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |
| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |
| ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |
| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |
| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |
| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |
| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |
| TheLPAC-WarmModel | | | | |
| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |
| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |
| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |
| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |
| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 | | | ieee57 | 0.9987 | 0.002138 | 0.005515 | 0.59 |
| --- | --- | --- | --- | --- |
| ieee118 | 0.9999 | 0.0001961 | 0.001303 | 0.1344 |
| ieeedd17 | 0.9858 | 0.01204 | 0.02597 | 2.796 |
| ieeedd17m | 0.9760 | 0.009819 | 0.02037 | 2.067 |
| mp300 | 0.9967 | 0.002477 | 0.01403 | 1.52 | | 1 |
| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) | | | |
| --- | --- | --- | --- | --- |
| TheLPAC-ColdModel | | | | |
| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |
| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |
| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |
| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |
| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |
| ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |
| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |
| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |
| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |
| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |
| TheLPAC-WarmModel | | | | |
| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |
| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |
| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |
| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |
| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 | | | 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |
| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |
| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 | | 0 |
| Binary | Coverage | Crashes | TotalPaths | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | |
| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |
| cxxfilt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |
| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |
| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |
| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |
| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |
| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |
| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |
| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 | | | strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |
| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |
| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |
| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |
| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 | | 1 |
| Binary | Coverage | Crashes | TotalPaths | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | |
| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |
| cxxfilt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |
| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |
| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |
| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |
| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |
| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |
| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |
| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 | | | Binary-to-Binary | Binary-to-Stream | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InputLevels/<br>StreamLength | Array<br>Multiplier | | | SISM | SCSM | | | AISM |
| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |
| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |
| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |
| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |
| 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |
| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 | | 0 |
| Binary | Coverage | Crashes | TotalPaths | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | |
| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |
| cxxfilt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |
| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |
| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |
| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |
| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |
| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |
| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |
| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |
| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 | | | gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |
| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |
| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |
| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 | | 1 |
| Binary | Coverage | Crashes | TotalPaths | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | |
| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |
| cxxfilt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |
| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |
| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |
| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |
| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |
| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |
| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |
| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |
| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 | | | 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 | | 0 |
| Model | 3questions | 4questions |
| --- | --- | --- |
| Tree | 0.9767 | 0.9683 | | | TreeU | 0.9913 | 0.9887 |
| --- | --- | --- |
| fMF | 0.9509 | 0.9480 |
| Q-Embeddingmodel | 0.9507 | 0.9486 |
| Q-Ratingmodel | 0.9472 | 0.9469 | | 1 |
| Model | 3questions | 4questions |
| --- | --- | --- |
| Tree | 0.9767 | 0.9683 | | | Model | C | d | Q |
| --- | --- | --- | --- |
| Full | 0.14 | 4.0 | 0.40 |
| Nodistance | 0.13 | 3.8 | 0.33 |
| Nocategories | 0.01 | 3.8 | 0.29 |
| Notriadicclosure | 0.05 | 4.0 | 0.38 | | 0 |
| Model | 3questions | 4questions |
| --- | --- | --- |
| Tree | 0.9767 | 0.9683 |
| TreeU | 0.9913 | 0.9887 |
| fMF | 0.9509 | 0.9480 | | | Q-Embeddingmodel | 0.9507 | 0.9486 |
| --- | --- | --- |
| Q-Ratingmodel | 0.9472 | 0.9469 | | 1 |
| Model | 3questions | 4questions |
| --- | --- | --- |
| Tree | 0.9767 | 0.9683 |
| TreeU | 0.9913 | 0.9887 |
| fMF | 0.9509 | 0.9480 | | | Nodistance | 0.13 | 3.8 | 0.33 |
| --- | --- | --- | --- |
| Nocategories | 0.01 | 3.8 | 0.29 |
| Notriadicclosure | 0.05 | 4.0 | 0.38 | | 0 |
| | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |
| --- | --- | --- | --- | --- |
| (×10)Sum | 4 | 28 | 99 | 421 |
| Memory(GB) | 6 | 45 | 160 | 679 |
| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |
| (×10)StdDev | 5 | 44 | 14 | 30 |
| (×10)Median | 8 | 20 | 13 | 22 | | | (×10)Maximum | 36 | 405 | 138 | 410 |
| --- | --- | --- | --- | --- |
| Minimum | 967 | 438 | 287 | 358 | | 1 |
| | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |
| --- | --- | --- | --- | --- |
| (×10)Sum | 4 | 28 | 99 | 421 |
| Memory(GB) | 6 | 45 | 160 | 679 |
| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |
| (×10)StdDev | 5 | 44 | 14 | 30 |
| (×10)Median | 8 | 20 | 13 | 22 | | | | Sums | Mult | Memory |
| --- | --- | --- | --- |
| TWM | 99 | 9 | 54 |
| WTWM | 40.25 | 22.75 | 22.75 |
| FDS | 54 | 9 | 18 |
| WFDS | 17.5 | 8.75 | 7 | | 0 |
| | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |
| --- | --- | --- | --- | --- |
| (×10)Sum | 4 | 28 | 99 | 421 |
| Memory(GB) | 6 | 45 | 160 | 679 |
| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |
| (×10)StdDev | 5 | 44 | 14 | 30 |
| (×10)Median | 8 | 20 | 13 | 22 | | | (×10)Maximum | 36 | 405 | 138 | 410 |
| --- | --- | --- | --- | --- |
| Minimum | 967 | 438 | 287 | 358 | | 1 |
| | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |
| --- | --- | --- | --- | --- |
| (×10)Sum | 4 | 28 | 99 | 421 |
| Memory(GB) | 6 | 45 | 160 | 679 |
| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |
| (×10)StdDev | 5 | 44 | 14 | 30 |
| (×10)Median | 8 | 20 | 13 | 22 | | | WTWM | 40.25 | 22.75 | 22.75 |
| --- | --- | --- | --- |
| FDS | 54 | 9 | 18 |
| WFDS | 17.5 | 8.75 | 7 | | 0 |
| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |
| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) | | | 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |
| --- | --- | --- | --- | --- |
| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) | | 1 |
| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |
| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) | | | σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |
| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |
| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |
| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) | | 0 |
| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) | | | 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |
| --- | --- | --- | --- | --- |
| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |
| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) | | 1 |
| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) | | | 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |
| --- | --- | --- | --- | --- |
| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |
| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) | | 0 |
| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |
| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |
| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 | | | Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| --- | --- | --- | --- | --- | --- | --- |
| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |
| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 | | 1 |
| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |
| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |
| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 | | | Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 | | 0 |
| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |
| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |
| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 | | | Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| --- | --- | --- | --- | --- | --- | --- |
| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |
| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 | | 1 |
| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |
| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |
| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |
| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |
| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |
| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 | | | Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| --- | --- | --- | --- | --- | --- | --- |
| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 | | 0 |
| | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |
| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |
| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 | | | FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |
| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |
| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |
| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 | | 1 |
| | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |
| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |
| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 | | | | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |
| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |
| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |
| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |
| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |
| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |
| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |
| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 | | 0 |
| | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 | | | FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |
| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |
| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |
| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |
| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |
| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 | | 1 |
| | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 | | | FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |
| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |
| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |
| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | \numberofauthors | 200 | Authorenumeration |
| --- | --- | --- |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment | | | Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 0 |
| Labels: | LLP | MIL | |
| --- | --- | --- | --- |
| Trainingsetsize: | 100subjects | 700subjects | 700subjects | | | Region: | RU | LU | RU | LU | RU | LU | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |
| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 | | 1 |
| Labels: | LLP | MIL | |
| --- | --- | --- | --- |
| Trainingsetsize: | 100subjects | 700subjects | 700subjects | | | | Train<br>/Test | Method | Accuracy | |
| --- | --- | --- | --- | --- |
| AVLetters | CUAVE | | | |
| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |
| CorrRNN | 81.85 | 96.22 | | |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | |
| CorrRNN | 85.33 | 96.11 | | |
| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |
| CorrRNN | 85.33 | 96.77 | | |
| Audio<br>/Video | MDAE | - | 30.70 | |
| CorrRNN | 81.85 | 96.33 | | | | 0 |
| Labels: | LLP | MIL | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Trainingsetsize: | 100subjects | 700subjects | 700subjects | | | |
| Region: | RU | LU | RU | LU | RU | LU | | | Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 | | 1 |
| Labels: | LLP | MIL | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Trainingsetsize: | 100subjects | 700subjects | 700subjects | | | |
| Region: | RU | LU | RU | LU | RU | LU | | | CorrRNN | 81.85 | 96.22 | | |
| --- | --- | --- | --- | --- |
| Audio<br>/Audio | Raw | 57.31 | 88.32 | |
| CorrRNN | 85.33 | 96.11 | | |
| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |
| CorrRNN | 85.33 | 96.77 | | |
| Audio<br>/Video | MDAE | - | 30.70 | |
| CorrRNN | 81.85 | 96.33 | | | | 0 |
| Method | Accuracy |
| --- | --- |
| ContextualModel | 79.1 | | | DeepStructuredModel | 80.6 |
| --- | --- |
| OurTwo-stageHierarchicalModel | 81.5 |
| Cardinalitykernel | 83.4 | | 1 |
| Method | Accuracy |
| --- | --- |
| ContextualModel | 79.1 | | | Method | Accuracy | | |
| --- | --- | --- | --- |
| subjectA | subjectB | subjectC | |
| originaldata | 0.6482 | 0.6015 | 0.6338 |
| PCA | 0.6529 | 0.5957 | 0.6100 |
| RPCA | 0.6656 | 0.5925 | 0.6186 |
| GBF | 0.6638 | 0.6026 | 0.5970 |
| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |
| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |
| proposedmodel | 0.6833 | 0.6414 | 0.6435 | | 0 |
| Method | Accuracy |
| --- | --- |
| ContextualModel | 79.1 | | | DeepStructuredModel | 80.6 |
| --- | --- |
| OurTwo-stageHierarchicalModel | 81.5 |
| Cardinalitykernel | 83.4 | | 1 |
| Method | Accuracy |
| --- | --- |
| ContextualModel | 79.1 | | | GBF | 0.6638 | 0.6026 | 0.5970 |
| --- | --- | --- | --- |
| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |
| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |
| proposedmodel | 0.6833 | 0.6414 | 0.6435 | | 0 |
| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |
| --- | --- | --- |
| Minisat2.2 | 138(65-73) | 1194.85s |
| SIZE-Glucose | 156(67-89) | 1396.73s |
| CVSIDS-Glucose | 165(67-98) | 1368.99s | | | LBD-Glucose | 165(68-97) | 1142.33s |
| --- | --- | --- |
| DegComp-Glucose | 164(69-95) | 1456.34s | | 1 |
| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |
| --- | --- | --- |
| Minisat2.2 | 138(65-73) | 1194.85s |
| SIZE-Glucose | 156(67-89) | 1396.73s |
| CVSIDS-Glucose | 165(67-98) | 1368.99s | | | Solvers | #Solved(#SAT-#UNSAT) | AverageTime |
| --- | --- | --- |
| Minisat2.2 | 209(134-75) | 585.19s |
| SIZE-Glucose | 230(131-99) | 533.86s |
| CVSIDS-Glucose | 240(140-100) | 622.23s |
| LBD-Glucose | 236(136-100) | 481.66s |
| DegComp-Glucose | 248(146-102) | 571.31s | | 0 |
| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |
| --- | --- | --- |
| Minisat2.2 | 138(65-73) | 1194.85s |
| SIZE-Glucose | 156(67-89) | 1396.73s |
| CVSIDS-Glucose | 165(67-98) | 1368.99s | | | LBD-Glucose | 165(68-97) | 1142.33s |
| --- | --- | --- |
| DegComp-Glucose | 164(69-95) | 1456.34s | | 1 |
| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |
| --- | --- | --- |
| Minisat2.2 | 138(65-73) | 1194.85s |
| SIZE-Glucose | 156(67-89) | 1396.73s |
| CVSIDS-Glucose | 165(67-98) | 1368.99s | | | CVSIDS-Glucose | 240(140-100) | 622.23s |
| --- | --- | --- |
| LBD-Glucose | 236(136-100) | 481.66s |
| DegComp-Glucose | 248(146-102) | 571.31s | | 0 |
| PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 | | | 75.9 | 109.2 | 16.5 |
| --- | --- | --- |
| 72.9 | 103.1 | 14.6 |
| 69.3 | 96.4 | 11.6 | | 1 |
| PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 | | | PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 |
| 82.1 | 111.3 | 18.8 |
| 73.2 | 113.1 | 11.2 |
| 69.3 | 96.4 | 11.1 |
| 74.12 | 110.33 | 14.27 | | 0 |
| PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 |
| 75.9 | 109.2 | 16.5 | | | 72.9 | 103.1 | 14.6 |
| --- | --- | --- |
| 69.3 | 96.4 | 11.6 | | 1 |
| PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 |
| 75.9 | 109.2 | 16.5 | | | 73.2 | 113.1 | 11.2 |
| --- | --- | --- |
| 69.3 | 96.4 | 11.1 |
| 74.12 | 110.33 | 14.27 | | 0 |
| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |
| --- | --- | --- | --- | --- | --- | --- |
| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 | | | CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |
| --- | --- | --- | --- | --- | --- | --- |
| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 |
| OlivettiFaces | .053 | .9917 | .4917 | .4833 | 1.000 | .8000 |
| StanfordDogs | .820 | .4696 | .3677 | .2342 | .2277 | .0599 |
| VOC2012 | 1.4 | .5872 | .5204 | .5459 | .4628 | .2516 | | 1 |
| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |
| --- | --- | --- | --- | --- | --- | --- |
| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 | | | Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |
| --- | --- | --- | --- | --- |
| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |
| Lake | 0.004 | 0.085 | 0.129 | 0.173 |
| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |
| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |
| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |
| Face | 0.006 | 0.061 | 0.102 | 0.135 |
| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |
| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |
| Wall | 0.201 | 0.304 | 0.362 | 0.399 |
| Horse | 0.078 | 0.169 | 0.214 | 0.252 |
| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |
| Church | 0.009 | 0.081 | 0.126 | 0.167 | | 0 |
| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |
| --- | --- | --- | --- | --- | --- | --- |
| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |
| CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |
| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 | | | OlivettiFaces | .053 | .9917 | .4917 | .4833 | 1.000 | .8000 |
| --- | --- | --- | --- | --- | --- | --- |
| StanfordDogs | .820 | .4696 | .3677 | .2342 | .2277 | .0599 |
| VOC2012 | 1.4 | .5872 | .5204 | .5459 | .4628 | .2516 | | 1 |
| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |
| --- | --- | --- | --- | --- | --- | --- |
| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |
| CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |
| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 | | | Lake | 0.004 | 0.085 | 0.129 | 0.173 |
| --- | --- | --- | --- | --- |
| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |
| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |
| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |
| Face | 0.006 | 0.061 | 0.102 | 0.135 |
| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |
| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |
| Wall | 0.201 | 0.304 | 0.362 | 0.399 |
| Horse | 0.078 | 0.169 | 0.214 | 0.252 |
| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |
| Church | 0.009 | 0.081 | 0.126 | 0.167 | | 0 |
| Model | time(s) | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | |
| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |
| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |
| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |
| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |
| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |
| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |
| Model | totalmemory(GB) | | | | | | | | | | | |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | | | | SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |
| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |
| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |
| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |
| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 | | 1 |
| Model | time(s) | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | |
| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |
| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |
| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |
| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |
| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |
| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |
| Model | totalmemory(GB) | | | | | | | | | | | |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | | | | Synchronous | Asynchronous | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |
| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |
| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |
| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |
| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |
| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |
| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |
| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |
| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |
| TotalExec-Time | 22374 | TotalExec-Time | 21824 | | | | | | 0 |
| Model | time(s) | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | |
| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |
| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |
| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |
| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |
| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |
| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |
| Model | totalmemory(GB) | | | | | | | | | | | |
| recursive | LCA | | | | | | | | | | | | | | 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |
| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |
| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |
| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |
| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |
| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 | | 1 |
| Model | time(s) | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| recursive | LCA | | | | | | | | | | | |
| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 | |
| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |
| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |
| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |
| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |
| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |
| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |
| Model | totalmemory(GB) | | | | | | | | | | | |
| recursive | LCA | | | | | | | | | | | | | | M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| TotalExec-Time | 22374 | TotalExec-Time | 21824 | | | | | | 0 |
| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |
| --- | --- | --- | --- | --- | --- | --- |
| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |
| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |
| Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 | | | Multi-ScaleCNN | 98.61 | 99.87 | 94.44 | 97.18 | 98.3 | 98.63 |
| --- | --- | --- | --- | --- | --- | --- |
| pLSA | 98.82 | 98.27 | 97.93 | 96.86 | 96.95 | 100.00 |
| RandomForest | 95.95 | 99.13 | 87.50 | 99.27 | 92.08 | 98.73 | | 1 |
| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |
| --- | --- | --- | --- | --- | --- | --- |
| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |
| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |
| Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 | | | kNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 0 |
| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |
| --- | --- | --- | --- | --- | --- | --- |
| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |
| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 | | | Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 |
| --- | --- | --- | --- | --- | --- | --- |
| Multi-ScaleCNN | 98.61 | 99.87 | 94.44 | 97.18 | 98.3 | 98.63 |
| pLSA | 98.82 | 98.27 | 97.93 | 96.86 | 96.95 | 100.00 |
| RandomForest | 95.95 | 99.13 | 87.50 | 99.27 | 92.08 | 98.73 | | 1 |
| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |
| --- | --- | --- | --- | --- | --- | --- |
| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |
| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 | | | Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 0 |
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