premise string | hypothesis string | label int64 |
|---|---|---|
| Frome<br>Norouzi<br>Changpinyo |
| --- |
| Ours. |
| Frome<br>Norouzi | | | Ours. |
| --- |
| Frome<br>Norouzi<br>Changpinyo |
| Ours. |
| Frome<br>Norouzi |
| Ours. |
| Frome<br>Norouzi<br>Changpinyo |
| Ours. |
| Frome<br>Norouzi | | 1 |
| Frome<br>Norouzi<br>Changpinyo |
| --- |
| Ours. |
| Frome<br>Norouzi | | | Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi |
| se | hi |
| aap | hi |
| kya | hi |
| samjhte | hi |
| hai | hi |
| samjhaye | hi |
| aap | hi |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 0 |
| Frome<br>Norouzi<br>Changpinyo |
| --- |
| Ours. |
| Frome<br>Norouzi | | | Ours. |
| --- |
| Frome<br>Norouzi<br>Changpinyo |
| Ours. |
| Frome<br>Norouzi |
| Ours. |
| Frome<br>Norouzi<br>Changpinyo |
| Ours. |
| Frome<br>Norouzi | | 1 |
| Frome<br>Norouzi<br>Changpinyo |
| --- |
| Ours. |
| Frome<br>Norouzi | | | samjhte | hi |
| --- | --- |
| hai | hi |
| samjhaye | hi |
| aap | hi |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 0 |
| Reference/System | PR | (P+R)/2F | Exact |
| --- | --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 | | | ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |
| --- | --- | --- | --- |
| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |
| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 | | 1 |
| Reference/System | PR | (P+R)/2F | Exact |
| --- | --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 | | | Reference/System | PR | (P+R)/2F | Exact |
| --- | --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |
| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |
| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |
| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 | | 0 |
| Reference/System | PR | (P+R)/2F | Exact |
| --- | --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 | | | ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |
| --- | --- | --- | --- |
| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |
| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 | | 1 |
| Reference/System | PR | (P+R)/2F | Exact |
| --- | --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 | | | SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |
| --- | --- | --- | --- |
| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 | | 0 |
| Datasets | GPOP | Ligra | GraphMat |
| --- | --- | --- | --- |
| gplus | 1.3B | 9.9B | 4.2B |
| sd1 | 4.52B | 52.7B | 19.4B |
| twitter | 3.43B | 34.2B | 16.3B | | | pld | 1.66B | 16.7B | 6.9B |
| --- | --- | --- | --- |
| friendster | 7.57B | 38.7B | - |
| soclj | 0.17B | 1.17B | 2.1B | | 1 |
| Datasets | GPOP | Ligra | GraphMat |
| --- | --- | --- | --- |
| gplus | 1.3B | 9.9B | 4.2B |
| sd1 | 4.52B | 52.7B | 19.4B |
| twitter | 3.43B | 34.2B | 16.3B | | | Datasets | GPOP | Ligra | GraphMat |
| --- | --- | --- | --- |
| gplus | 0.81B | 0.78B | 1.4B |
| sd1 | 4.16B | 5.5B | 7.86B |
| twitter | 1.56B | 2.34B | 3.36B |
| pld | 1.17B | 1.31B | 2.47B |
| friendster | 3.7B | 6.1B | - |
| soclj | 0.75B | 0.36B | 0.1B | | 0 |
| Datasets | GPOP | Ligra | GraphMat |
| --- | --- | --- | --- |
| gplus | 1.3B | 9.9B | 4.2B |
| sd1 | 4.52B | 52.7B | 19.4B |
| twitter | 3.43B | 34.2B | 16.3B |
| pld | 1.66B | 16.7B | 6.9B | | | friendster | 7.57B | 38.7B | - |
| --- | --- | --- | --- |
| soclj | 0.17B | 1.17B | 2.1B | | 1 |
| Datasets | GPOP | Ligra | GraphMat |
| --- | --- | --- | --- |
| gplus | 1.3B | 9.9B | 4.2B |
| sd1 | 4.52B | 52.7B | 19.4B |
| twitter | 3.43B | 34.2B | 16.3B |
| pld | 1.66B | 16.7B | 6.9B | | | friendster | 3.7B | 6.1B | - |
| --- | --- | --- | --- |
| soclj | 0.75B | 0.36B | 0.1B | | 0 |
| word1 | word2 | similarities(cosine-dist) | remark |
| --- | --- | --- | --- |
| dilantin | tegretol | 0.75135758 | drug-drug |
| phenytoin | dilantin | 0.62360351 | drug-drug |
| phenytoin | tegretol | 0.51322415 | drug-drug | | | cholestyramine | dilantin | 0.24557819 | drug-drug |
| --- | --- | --- | --- |
| cholestyramine | phenytoin | 0.23701277 | drug-drug |
| administration | patients | 0.20459694 | non-drug-non-drug |
| tegretol | may | 0.11605539 | drug-non-drug |
| cholestyramine | patients | 0.08827197 | drug-non-drug |
| evaluated | end | 0.07379115 | non-drug-non-drug |
| within | controlled | 0.06111103 | non-drug-non-drug |
| cholestyramine | evaluated | 0.04024139 | drug-non-drug |
| dilantin | end | 0.02234770 | drug-non-drug | | 1 |
| word1 | word2 | similarities(cosine-dist) | remark |
| --- | --- | --- | --- |
| dilantin | tegretol | 0.75135758 | drug-drug |
| phenytoin | dilantin | 0.62360351 | drug-drug |
| phenytoin | tegretol | 0.51322415 | drug-drug | | | Word1 | Word2 | Similarity |
| --- | --- | --- |
| large | NEGEXenlarged | -0.245 |
| hemorrhage | NEGEXQUALhemorrhage | -0.074 |
| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |
| infarction | NEGEXQUALinfarction | -0.070 |
| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |
| midlineshift | NEGEXQUALmidlineshift | -0.206 |
| abnormalities | NEGEXQUALabnormalities | -0.283 |
| masseffect | NEGEXQUALmasseffect | -0.170 | | 0 |
| word1 | word2 | similarities(cosine-dist) | remark |
| --- | --- | --- | --- |
| dilantin | tegretol | 0.75135758 | drug-drug |
| phenytoin | dilantin | 0.62360351 | drug-drug |
| phenytoin | tegretol | 0.51322415 | drug-drug |
| cholestyramine | dilantin | 0.24557819 | drug-drug |
| cholestyramine | phenytoin | 0.23701277 | drug-drug | | | administration | patients | 0.20459694 | non-drug-non-drug |
| --- | --- | --- | --- |
| tegretol | may | 0.11605539 | drug-non-drug |
| cholestyramine | patients | 0.08827197 | drug-non-drug |
| evaluated | end | 0.07379115 | non-drug-non-drug |
| within | controlled | 0.06111103 | non-drug-non-drug |
| cholestyramine | evaluated | 0.04024139 | drug-non-drug |
| dilantin | end | 0.02234770 | drug-non-drug | | 1 |
| word1 | word2 | similarities(cosine-dist) | remark |
| --- | --- | --- | --- |
| dilantin | tegretol | 0.75135758 | drug-drug |
| phenytoin | dilantin | 0.62360351 | drug-drug |
| phenytoin | tegretol | 0.51322415 | drug-drug |
| cholestyramine | dilantin | 0.24557819 | drug-drug |
| cholestyramine | phenytoin | 0.23701277 | drug-drug | | | hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |
| --- | --- | --- |
| infarction | NEGEXQUALinfarction | -0.070 |
| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |
| midlineshift | NEGEXQUALmidlineshift | -0.206 |
| abnormalities | NEGEXQUALabnormalities | -0.283 |
| masseffect | NEGEXQUALmasseffect | -0.170 | | 0 |
| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |
| --- | --- |
| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |
| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 | | | DRAMController | Readbuffer:64,writebuffer:64,open-adaptivepagepolicy |
| --- | --- |
| DRAMmodule | LPDDR2@533MHz,1rank,8banks | | 1 |
| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |
| --- | --- |
| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |
| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 | | | SystemConfiguration | |
| --- | --- |
| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |
| MemorySubsystem | |
| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |
| 2-DMeshwithXYRouting | |
| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits | | 0 |
| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |
| --- | --- |
| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |
| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 | | | DRAMController | Readbuffer:64,writebuffer:64,open-adaptivepagepolicy |
| --- | --- |
| DRAMmodule | LPDDR2@533MHz,1rank,8banks | | 1 |
| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |
| --- | --- |
| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |
| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 | | | MemorySubsystem | |
| --- | --- |
| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |
| 2-DMeshwithXYRouting | |
| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits | | 0 |
| | Sums | Mult | Memory |
| --- | --- | --- | --- |
| TWM | 99 | 9 | 54 | | | WTWM | 40.25 | 22.75 | 22.75 |
| --- | --- | --- | --- |
| FDS | 54 | 9 | 18 |
| WFDS | 17.5 | 8.75 | 7 | | 1 |
| | Sums | Mult | Memory |
| --- | --- | --- | --- |
| TWM | 99 | 9 | 54 | | | | 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 | | 0 |
| | Sums | Mult | Memory |
| --- | --- | --- | --- |
| TWM | 99 | 9 | 54 |
| WTWM | 40.25 | 22.75 | 22.75 | | | FDS | 54 | 9 | 18 |
| --- | --- | --- | --- |
| WFDS | 17.5 | 8.75 | 7 | | 1 |
| | Sums | Mult | Memory |
| --- | --- | --- | --- |
| TWM | 99 | 9 | 54 |
| WTWM | 40.25 | 22.75 | 22.75 | | | (×10)StdDev | 5 | 44 | 14 | 30 |
| --- | --- | --- | --- | --- |
| (×10)Median | 8 | 20 | 13 | 22 |
| (×10)Maximum | 36 | 405 | 138 | 410 |
| Minimum | 967 | 438 | 287 | 358 | | 0 |
| NumberofNodes | AverageError | StandardDeviation |
| --- | --- | --- |
| 100000 | 335.02 | 1833.64 | | | 200000 | 389.63 | 2128.77 |
| --- | --- | --- |
| 300000 | 447.87 | 2580.50 |
| 400000 | 600.52 | 4531.16 |
| 500000 | 631.58 | 5057.44 | | 1 |
| NumberofNodes | AverageError | StandardDeviation |
| --- | --- | --- |
| 100000 | 335.02 | 1833.64 | | | NumberofNodes | ConvergenceRate | OptimalGossipWeight |
| --- | --- | --- |
| 4 | 0.8 | 0.6 |
| 5 | 0.6 | 0.7 |
| 6 | 0.6 | 0.7 |
| 7 | 0.6 | 0.7 |
| 8 | 0.4 | 0.8 |
| 9 | 0.4 | 0.8 |
| 10 | 0.4 | 0.8 |
| 11 | 0.4 | 0.8 |
| 12 | 0.4 | 0.8 |
| 13 | 0.3034 | 0.8 |
| 14 | 0.2412 | 0.8 |
| 15 | 0.2015 | 0.8 |
| 16 | 0.2 | 0.9 |
| 17 | 0.2 | 0.9 |
| 18 | 0.2 | 0.9 |
| 19 | 0.2 | 0.9 |
| 20 | 0.2 | 0.9 | | 0 |
| NumberofNodes | AverageError | StandardDeviation |
| --- | --- | --- |
| 100000 | 335.02 | 1833.64 |
| 200000 | 389.63 | 2128.77 | | | 300000 | 447.87 | 2580.50 |
| --- | --- | --- |
| 400000 | 600.52 | 4531.16 |
| 500000 | 631.58 | 5057.44 | | 1 |
| NumberofNodes | AverageError | StandardDeviation |
| --- | --- | --- |
| 100000 | 335.02 | 1833.64 |
| 200000 | 389.63 | 2128.77 | | | 19 | 0.2 | 0.9 |
| --- | --- | --- |
| 20 | 0.2 | 0.9 | | 0 |
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0.0077 | | | | |
| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |
| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |
| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 | | | Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |
| --- | --- | --- | --- | --- | --- |
| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |
| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 | | 1 |
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0.0077 | | | | |
| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |
| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |
| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 | | | Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0 | | | | |
| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |
| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |
| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |
| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |
| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |
| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 | | 0 |
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0.0077 | | | | |
| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |
| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |
| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |
| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 | | | Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |
| --- | --- | --- | --- | --- | --- |
| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 | | 1 |
| Method\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |
| --- | --- | --- | --- | --- | --- |
| Gauss-Newton | 0.0077 | | | | |
| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |
| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |
| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |
| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 | | | Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |
| --- | --- | --- | --- | --- | --- |
| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |
| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |
| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |
| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 | | 0 |
| Captions | IToC<br>Recall@5Recall@10Recall@50 |
| --- | --- |
| English | 0.1180.1900.456 | | | French<br>French<br>French<br>French | 0.0080.0170.069<br>0.0180.0240.085<br>0.0720.1350.335<br>0.1010.1630.414 |
| --- | --- |
| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |
| | 0.0060.0090.044 | | 1 |
| Captions | IToC<br>Recall@5Recall@10Recall@50 |
| --- | --- |
| English | 0.1180.1900.456 | | | Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 0 |
| Captions | IToC<br>Recall@5Recall@10Recall@50 |
| --- | --- |
| English | 0.1180.1900.456 | | | French<br>French<br>French<br>French | 0.0080.0170.069<br>0.0180.0240.085<br>0.0720.1350.335<br>0.1010.1630.414 |
| --- | --- |
| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |
| | 0.0060.0090.044 | | 1 |
| Captions | IToC<br>Recall@5Recall@10Recall@50 |
| --- | --- |
| English | 0.1180.1900.456 | | | SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 0 |
| SameCategory | All |
| --- | --- |
| ValenceArousal | ValenceArousal | | | RMSE | 0.1900.261 | 0.3400.362 |
| --- | --- | --- |
| CORR | 0.9510.766 | 0.8230.567 |
| SAGR | 0.9060.709 | 0.8150.667 |
| CCC | 0.9510.746 | 0.8210.551 | | 1 |
| SameCategory | All |
| --- | --- |
| ValenceArousal | ValenceArousal | | | CNN(AlexNet) | SVR | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.3940.402 | 0.4940.400 |
| CORR | 0.6020.539 | 0.4290.360 |
| SAGR | 0.7280.670 | 0.6190.748 |
| CCC | 0.5410.450 | 0.3400.199 | | 0 |
| SameCategory | All | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.1900.261 | 0.3400.362 | | | CORR | 0.9510.766 | 0.8230.567 |
| --- | --- | --- |
| SAGR | 0.9060.709 | 0.8150.667 |
| CCC | 0.9510.746 | 0.8210.551 | | 1 |
| SameCategory | All | |
| --- | --- | --- |
| ValenceArousal | ValenceArousal | |
| RMSE | 0.1900.261 | 0.3400.362 | | | RMSE | 0.3940.402 | 0.4940.400 |
| --- | --- | --- |
| CORR | 0.6020.539 | 0.4290.360 |
| SAGR | 0.7280.670 | 0.6190.748 |
| CCC | 0.5410.450 | 0.3400.199 | | 0 |
| p | TargetFER | CompressionRate | SourceEntropy |
| --- | --- | --- | --- |
| 0.026 | −3<br>10 | 0.50 | 0.1739 |
| 0.018 | 10 | 0.50 | 0.1301 | | | 0.068 | 10 | 0.75 | 0.3584 |
| --- | --- | --- | --- |
| 0.054 | 10 | 0.75 | 0.3032 | | 1 |
| p | TargetFER | CompressionRate | SourceEntropy |
| --- | --- | --- | --- |
| 0.026 | −3<br>10 | 0.50 | 0.1739 |
| 0.018 | 10 | 0.50 | 0.1301 | | | p | TargetFER | CompressionRate | SourceEntropy |
| --- | --- | --- | --- |
| 0.058 | −3<br>10 | 0.50 | 0.3195 |
| 0.048 | 10 | 0.50 | 0.2778 |
| 0.134 | 10 | 0.75 | 0.5710 |
| 0.126 | 10 | 0.75 | 0.5464 | | 0 |
| p | TargetFER | CompressionRate | SourceEntropy |
| --- | --- | --- | --- |
| 0.026 | −3<br>10 | 0.50 | 0.1739 | | | 0.018 | 10 | 0.50 | 0.1301 |
| --- | --- | --- | --- |
| 0.068 | 10 | 0.75 | 0.3584 |
| 0.054 | 10 | 0.75 | 0.3032 | | 1 |
| p | TargetFER | CompressionRate | SourceEntropy |
| --- | --- | --- | --- |
| 0.026 | −3<br>10 | 0.50 | 0.1739 | | | 0.048 | 10 | 0.50 | 0.2778 |
| --- | --- | --- | --- |
| 0.134 | 10 | 0.75 | 0.5710 |
| 0.126 | 10 | 0.75 | 0.5464 | | 0 |
| | VA | Priors | t-link | Graph<br>cuts |
| --- | --- | --- | --- | --- |
| CPU | 32.9 | 148.1 | 218.6 | 97.0 |
| GPU | 22.2 | 1.9 | 109.6 | 69.0 |
| CPU | 58.8 | 372.8 | 350.8 | 246.5 |
| GPU | 30.4 | 3.5 | 120.8 | 27.7 | | | CPU | 109.8 | 814.5 | 602.6 | 664.5 |
| --- | --- | --- | --- | --- |
| GPU | 45.2 | 6.2 | 142.6 | 232.3 | | 1 |
| | VA | Priors | t-link | Graph<br>cuts |
| --- | --- | --- | --- | --- |
| CPU | 32.9 | 148.1 | 218.6 | 97.0 |
| GPU | 22.2 | 1.9 | 109.6 | 69.0 |
| CPU | 58.8 | 372.8 | 350.8 | 246.5 |
| GPU | 30.4 | 3.5 | 120.8 | 27.7 | | | Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |
| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |
| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |
| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |
| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |
| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 | | 0 |
| | VA | Priors | t-link | Graph<br>cuts |
| --- | --- | --- | --- | --- |
| CPU | 32.9 | 148.1 | 218.6 | 97.0 |
| GPU | 22.2 | 1.9 | 109.6 | 69.0 |
| CPU | 58.8 | 372.8 | 350.8 | 246.5 |
| GPU | 30.4 | 3.5 | 120.8 | 27.7 | | | CPU | 109.8 | 814.5 | 602.6 | 664.5 |
| --- | --- | --- | --- | --- |
| GPU | 45.2 | 6.2 | 142.6 | 232.3 | | 1 |
| | VA | Priors | t-link | Graph<br>cuts |
| --- | --- | --- | --- | --- |
| CPU | 32.9 | 148.1 | 218.6 | 97.0 |
| GPU | 22.2 | 1.9 | 109.6 | 69.0 |
| CPU | 58.8 | 372.8 | 350.8 | 246.5 |
| GPU | 30.4 | 3.5 | 120.8 | 27.7 | | | InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |
| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 | | 0 |
| 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 | | 1 |
| 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 | | | 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 |
| 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 | | 1 |
| 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 | | | 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 | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 | | | Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |
| --- | --- | --- | --- | --- |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |
| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 1 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 | | | Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |
| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |
| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |
| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |
| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 | | 0 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |
| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| | α=0.05 | | | | | | He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |
| --- | --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 1 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |
| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| | α=0.05 | | | | | | He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |
| --- | --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |
| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |
| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |
| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 | | 0 |
| Imagename | Enc.time | Dec.time |
| --- | --- | --- |
| Lena | 14.1170 | 14.1966 | | | Barbara | 15.1475 | 15.0169 |
| --- | --- | --- |
| Baboon | 14.1248 | 14.1971 |
| Boat | 15.1231 | 15.2170 |
| Peppers | 14.6154 | 14.5972 | | 1 |
| Imagename | Enc.time | Dec.time |
| --- | --- | --- |
| Lena | 14.1170 | 14.1966 | | | Imagename | NPCR | InformationEntropy |
| --- | --- | --- |
| Lena | 99.6170 | 7.9966 |
| Barbara | 99.6475 | 7.9969 |
| Baboon | 99.6368 | 7.9971 |
| Boat | 99.6231 | 7.9970 |
| Peppers | 99.6154 | 7.9972 | | 0 |
| Imagename | Enc.time | Dec.time |
| --- | --- | --- |
| Lena | 14.1170 | 14.1966 |
| Barbara | 15.1475 | 15.0169 |
| Baboon | 14.1248 | 14.1971 | | | Boat | 15.1231 | 15.2170 |
| --- | --- | --- |
| Peppers | 14.6154 | 14.5972 | | 1 |
| Imagename | Enc.time | Dec.time |
| --- | --- | --- |
| Lena | 14.1170 | 14.1966 |
| Barbara | 15.1475 | 15.0169 |
| Baboon | 14.1248 | 14.1971 | | | Boat | 99.6231 | 7.9970 |
| --- | --- | --- |
| Peppers | 99.6154 | 7.9972 | | 0 |
| Size(s) | True | False | Mis-<br>classified | Percentage |
| --- | --- | --- | --- | --- |
| 10 | 24 | 10 | 4 | 0.05 |
| 25 | 26 | 10 | 4 | 0.34 |
| 50 | 25 | 9 | 5 | 1.28 |
| 75 | 27 | 3 | 1 | 2.5 | | | 100 | 16 | 7 | 5 | 3.47 |
| --- | --- | --- | --- | --- |
| 200 | 4 | 4 | 5 | 4.82 | | 1 |
| Size(s) | True | False | Mis-<br>classified | Percentage |
| --- | --- | --- | --- | --- |
| 10 | 24 | 10 | 4 | 0.05 |
| 25 | 26 | 10 | 4 | 0.34 |
| 50 | 25 | 9 | 5 | 1.28 |
| 75 | 27 | 3 | 1 | 2.5 | | | 1 | 100 | 0.5 | 46.889 |
| --- | --- | --- | --- |
| 1 | 100 | 0.5 | 110.956 |
| 1 | 100 | 0.5 | 135.143 |
| 2 | 100 | 0.5 | 46.844 |
| 3 | 100 | 0.5 | 47.029 |
| 1 | 200 | 0.5 | 49.069 |
| 1 | 300 | 0.5 | 50.632 |
| 1 | 400 | 0.5 | 54.916 |
| 1 | 100 | 0 | 45.034 |
| 1 | 100 | 0.1 | 47.353 | | 0 |
| Size(s) | True | False | Mis-<br>classified | Percentage |
| --- | --- | --- | --- | --- |
| 10 | 24 | 10 | 4 | 0.05 |
| 25 | 26 | 10 | 4 | 0.34 |
| 50 | 25 | 9 | 5 | 1.28 |
| 75 | 27 | 3 | 1 | 2.5 | | | 100 | 16 | 7 | 5 | 3.47 |
| --- | --- | --- | --- | --- |
| 200 | 4 | 4 | 5 | 4.82 | | 1 |
| Size(s) | True | False | Mis-<br>classified | Percentage |
| --- | --- | --- | --- | --- |
| 10 | 24 | 10 | 4 | 0.05 |
| 25 | 26 | 10 | 4 | 0.34 |
| 50 | 25 | 9 | 5 | 1.28 |
| 75 | 27 | 3 | 1 | 2.5 | | | 1 | 100 | 0 | 45.034 |
| --- | --- | --- | --- |
| 1 | 100 | 0.1 | 47.353 | | 0 |
| 28×28×1 |
| --- |
| 9×9Convwithkernels,stride=1,Relu |
| 20×20×256 |
| 9×9Convwithkernels,stride=2,8DCaps |
| 6×6×32×8 | | | WMultiplyby,Weightedsum,Squashing |
| --- |
| 10×2 |
| Decoderpart | | 1 |
| 28×28×1 |
| --- |
| 9×9Convwithkernels,stride=1,Relu |
| 20×20×256 |
| 9×9Convwithkernels,stride=2,8DCaps |
| 6×6×32×8 | | | ConvEncoder | ConvDecoder | | |
| --- | --- | --- | --- |
| OutputSize | Operation | Outputsize | Operation |
| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |
| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |
| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |
| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |
| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |
| | | 4×4×Nc | 4×4ConvT()Nc | | 0 |
| 28×28×1 |
| --- |
| 9×9Convwithkernels,stride=1,Relu | | | 20×20×256 |
| --- |
| 9×9Convwithkernels,stride=2,8DCaps |
| 6×6×32×8 |
| WMultiplyby,Weightedsum,Squashing |
| 10×2 |
| Decoderpart | | 1 |
| 28×28×1 |
| --- |
| 9×9Convwithkernels,stride=1,Relu | | | 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |
| --- | --- | --- | --- |
| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |
| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |
| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |
| | | 4×4×Nc | 4×4ConvT()Nc | | 0 |
| | AFLWDataset(21pts) | | | | |
| --- | --- | --- | --- | --- | --- |
| | [0,30] | (30,60] | (60,90] | mean | std |
| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |
| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 | | | VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |
| --- | --- | --- | --- | --- | --- |
| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 | | 1 |
| | AFLWDataset(21pts) | | | | |
| --- | --- | --- | --- | --- | --- |
| | [0,30] | (30,60] | (60,90] | mean | std |
| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |
| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 | | | HigherBetter | | | |
| --- | --- | --- | --- |
| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |
| 80.55 | 94.65 | 98.26 | 0.399 |
| 79.88 | 94.45 | 98.15 | 0.411 |
| 78.70 | 94.06 | 98.13 | 0.419 |
| 78.72 | 94.13 | 98.08 | 0.423 |
| 80.17 | 94.74 | 98.27 | 0.401 |
| 79.26 | 94.19 | 98.07 | 0.422 | | 0 |
| | AFLWDataset(21pts) | | | | |
| --- | --- | --- | --- | --- | --- |
| | [0,30] | (30,60] | (60,90] | mean | std | | | AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |
| --- | --- | --- | --- | --- | --- |
| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |
| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |
| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 | | 1 |
| | AFLWDataset(21pts) | | | | |
| --- | --- | --- | --- | --- | --- |
| | [0,30] | (30,60] | (60,90] | mean | std | | | 79.88 | 94.45 | 98.15 | 0.411 |
| --- | --- | --- | --- |
| 78.70 | 94.06 | 98.13 | 0.419 |
| 78.72 | 94.13 | 98.08 | 0.423 |
| 80.17 | 94.74 | 98.27 | 0.401 |
| 79.26 | 94.19 | 98.07 | 0.422 | | 0 |
| | FIE0 | FIEI | FIEII | FIEIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |
| SourceFiles | 19 | 20 | 24 | 29 |
| DataFiles | 2 | 8 | 14 | 14 | | | DependencyFiles | 255 | 255 | 411 | 659 |
| --- | --- | --- | --- | --- |
| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |
| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s | | 1 |
| | FIE0 | FIEI | FIEII | FIEIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |
| SourceFiles | 19 | 20 | 24 | 29 |
| DataFiles | 2 | 8 | 14 | 14 | | | | VIC0 | VICI | VICII | VICIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | C,C++,Python,Cshell,Fortran | | | |
| Sourcefiles | 35 | 61 | 77 | 97 |
| Datafiles | 3689 | 6313 | 11460 | 11481 |
| DependencyFiles | 247 | 260 | 314 | 357 |
| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |
| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s | | 0 |
| | FIE0 | FIEI | FIEII | FIEIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |
| SourceFiles | 19 | 20 | 24 | 29 |
| DataFiles | 2 | 8 | 14 | 14 | | | DependencyFiles | 255 | 255 | 411 | 659 |
| --- | --- | --- | --- | --- |
| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |
| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s | | 1 |
| | FIE0 | FIEI | FIEII | FIEIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |
| SourceFiles | 19 | 20 | 24 | 29 |
| DataFiles | 2 | 8 | 14 | 14 | | | SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |
| --- | --- | --- | --- | --- |
| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s | | 0 |
| Datasets | BBC-Sport | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |
| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 | | | Co-reg<br>RMSC | 0.771<br>0.808 | 0.849<br>0.912 | 0.783<br>0.837 | 0.829<br>0.871 | 0.836<br>0.879 | 0.822<br>0.864 | 0.804<br>0.822 | 0.780<br>0.915 | 0.755<br>0.789 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |
| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 | | 1 |
| Datasets | BBC-Sport | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |
| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 | | | Datasets | Scene-15 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |
| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |
| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |
| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |
| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 | | 0 |
| Datasets | BBC-Sport | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR | | | SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Co-reg<br>RMSC | 0.771<br>0.808 | 0.849<br>0.912 | 0.783<br>0.837 | 0.829<br>0.871 | 0.836<br>0.879 | 0.822<br>0.864 | 0.804<br>0.822 | 0.780<br>0.915 | 0.755<br>0.789 |
| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |
| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 | | 1 |
| Datasets | BBC-Sport | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR | | | Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |
| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 | | 0 |
| | Bilinear | | | | GB-DR |
| --- | --- | --- | --- | --- | --- |
| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |
| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |
| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |
| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 | | | bunny | 39.03±0.00 | 23.40±1.22 | 35.88±1.82 | 43.62±0.01 | 43.73±0.05 |
| --- | --- | --- | --- | --- | --- |
| cards | 26.13±0.00 | 17.77±0.33 | 25.22±1.40 | 28.34±0.00 | 31.03±0.02 |
| chess | 33.11±0.00 | 20.56±0.24 | 31.19±1.96 | 35.76±0.00 | 36.87±0.04 |
| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |
| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |
| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |
| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 | | 1 |
| | Bilinear | | | | GB-DR |
| --- | --- | --- | --- | --- | --- |
| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |
| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |
| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |
| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 | | | | Bilinear | | | | GB-DR |
| --- | --- | --- | --- | --- | --- |
| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |
| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |
| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |
| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |
| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |
| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |
| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |
| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |
| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |
| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |
| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |
| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 | | 0 |
| | Bilinear | | | | GB-DR |
| --- | --- | --- | --- | --- | --- |
| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |
| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |
| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |
| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 | | | bunny | 39.03±0.00 | 23.40±1.22 | 35.88±1.82 | 43.62±0.01 | 43.73±0.05 |
| --- | --- | --- | --- | --- | --- |
| cards | 26.13±0.00 | 17.77±0.33 | 25.22±1.40 | 28.34±0.00 | 31.03±0.02 |
| chess | 33.11±0.00 | 20.56±0.24 | 31.19±1.96 | 35.76±0.00 | 36.87±0.04 |
| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |
| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |
| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |
| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 | | 1 |
| | Bilinear | | | | GB-DR |
| --- | --- | --- | --- | --- | --- |
| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |
| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |
| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |
| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 | | | maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |
| --- | --- | --- | --- | --- | --- |
| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |
| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |
| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |
| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |
| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |
| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 | | 0 |
| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |
| --- | --- | --- |
| | | |
| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |
| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |
| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |
| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |
| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 | | | 0.95240.94828.6817<br>0.95460.95198.3757<br>0.95770.95408.1952<br>0.95750.95398.1958 | 0.94230.92790.0979<br>0.95690.95320.0801<br>0.95460.94490.0859<br>0.95530.94620.0849 | 0.89790.87620.6466<br>0.87750.85850.6881<br>0.90480.88660.6207<br>0.90480.88720.6193 |
| --- | --- | --- |
| 0.95130.94898.6188<br>0.96360.96047.6137<br>0.95670.95228.3472<br>0.96690.96756.9073 | 0.91330.89910.1149<br>0.91950.92770.0980<br>0.92130.91440.1063<br>0.94660.95000.0820 | 0.85420.84510.7173<br>0.74910.80840.7899<br>0.85590.85790.6895<br>0.83400.82900.7505 | | 1 |
| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |
| --- | --- | --- |
| | | |
| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |
| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |
| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |
| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |
| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 | | | nv04 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |
| --- | --- | --- |
| | | |
| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |
| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |
| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |
| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |
| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 | | | 0.95240.94828.6817<br>0.95460.95198.3757<br>0.95770.95408.1952<br>0.95750.95398.1958 | 0.94230.92790.0979<br>0.95690.95320.0801<br>0.95460.94490.0859<br>0.95530.94620.0849 | 0.89790.87620.6466<br>0.87750.85850.6881<br>0.90480.88660.6207<br>0.90480.88720.6193 |
| --- | --- | --- |
| 0.95130.94898.6188<br>0.96360.96047.6137<br>0.95670.95228.3472<br>0.96690.96756.9073 | 0.91330.89910.1149<br>0.91950.92770.0980<br>0.92130.91440.1063<br>0.94660.95000.0820 | 0.85420.84510.7173<br>0.74910.80840.7899<br>0.85590.85790.6895<br>0.83400.82900.7505 | | 1 |
| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |
| --- | --- | --- |
| | | |
| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |
| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |
| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |
| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |
| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 | | | sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| --- | --- | --- | --- | --- | --- |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| | | |
| --- | --- | --- |
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| --- | --- | --- |
| | | | | 1 |
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| --- | --- | --- |
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| | | | | | | | |
| --- | --- | --- |
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| | | |
| | | | | 0 |
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| --- | --- | --- |
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| --- | --- | --- |
| | | |
| | | | | 1 |
| | | |
| --- | --- | --- |
| | | | | | | | |
| --- | --- | --- |
| | | | | 0 |
| | | |
| --- | --- | --- |
| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |
| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 | | | Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |
| --- | --- | --- |
| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |
| Fusionblock | numberofMLPhiddenunits | 512 |
| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 | | 1 |
| | | |
| --- | --- | --- |
| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |
| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 | | | | | |
| --- | --- | --- |
| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |
| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |
| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |
| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |
| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 | | 0 |
| | | |
| --- | --- | --- |
| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False | | | Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 |
| --- | --- | --- |
| Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |
| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |
| Fusionblock | numberofMLPhiddenunits | 512 |
| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 | | 1 |
| | | |
| --- | --- | --- |
| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False | | | CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |
| --- | --- | --- |
| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |
| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 | | 0 |
| 55.1<br>61.5 |
| --- |
| 61.4<br>59.1<br>58.1 |
| 61.7<br>61.0<br>60.4 | | | 63.4<br>61.2<br>60.9 |
| --- |
| 63.1<br>61.7<br>61.5 | | 1 |
| 55.1<br>61.5 |
| --- |
| 61.4<br>59.1<br>58.1 |
| 61.7<br>61.0<br>60.4 | | | 81.46<br>81.89<br>81.58<br>82.45 |
| --- |
| 79.70<br>80.27<br>80.91 |
| 81.15 |
| 69.19<br>74.70<br>75.80 |
| 79.65<br>81.38 | | 0 |
| 55.1<br>61.5 |
| --- |
| 61.4<br>59.1<br>58.1 | | | 61.7<br>61.0<br>60.4 |
| --- |
| 63.4<br>61.2<br>60.9 |
| 63.1<br>61.7<br>61.5 | | 1 |
| 55.1<br>61.5 |
| --- |
| 61.4<br>59.1<br>58.1 | | | 69.19<br>74.70<br>75.80 |
| --- |
| 79.65<br>81.38 | | 0 |
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