premise string | hypothesis string | label int64 |
|---|---|---|
| Hyper-parameter |
| --- |
| windowsize<br>numberoffilters |
| numberoflayers<br>statesize<br>initialstate<br>peepholes |
| numberoflayers<br>dimension | | | embeddings<br>LSTMhiddenstates<br>LSTMlayers |
| --- |
| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping | | 1 |
| Hyper-parameter |
| --- |
| windowsize<br>numberoffilters |
| numberoflayers<br>statesize<br>initialstate<br>peepholes |
| numberoflayers<br>dimension | | | Hyper-parameter | POS |
| --- | --- |
| windowsize<br>numberoffilters | 3<br>30 |
| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |
| dropoutrate | 0.5 |
| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 | | 0 |
| Hyper-parameter |
| --- |
| windowsize<br>numberoffilters |
| numberoflayers<br>statesize<br>initialstate<br>peepholes | | | numberoflayers<br>dimension |
| --- |
| embeddings<br>LSTMhiddenstates<br>LSTMlayers |
| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping | | 1 |
| Hyper-parameter |
| --- |
| windowsize<br>numberoffilters |
| numberoflayers<br>statesize<br>initialstate<br>peepholes | | | dropoutrate | 0.5 |
| --- | --- |
| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 | | 0 |
| Affordances | #Terms | Affordances | #Terms |
| --- | --- | --- | --- |
| Accommodation | 59 | Retreats | 59 |
| Attractions | 59 | Shopping | 59 | | | Beaches | 59 | Spirituality | 59 |
| --- | --- | --- | --- |
| Deserts | 59 | Sports | 66 |
| HealthCare | 60 | ThemeParks | 59 |
| Heritage | 59 | TourPackages | 59 |
| HillStations | 59 | Transport | 61 |
| Landscapes | 59 | Wildlife | 59 |
| Nature | 59 | Miscellaneous | Rest | | 1 |
| Affordances | #Terms | Affordances | #Terms |
| --- | --- | --- | --- |
| Accommodation | 59 | Retreats | 59 |
| Attractions | 59 | Shopping | 59 | | | Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |
| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |
| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |
| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |
| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 | | 0 |
| Affordances | #Terms | Affordances | #Terms |
| --- | --- | --- | --- |
| Accommodation | 59 | Retreats | 59 |
| Attractions | 59 | Shopping | 59 |
| Beaches | 59 | Spirituality | 59 | | | Deserts | 59 | Sports | 66 |
| --- | --- | --- | --- |
| HealthCare | 60 | ThemeParks | 59 |
| Heritage | 59 | TourPackages | 59 |
| HillStations | 59 | Transport | 61 |
| Landscapes | 59 | Wildlife | 59 |
| Nature | 59 | Miscellaneous | Rest | | 1 |
| Affordances | #Terms | Affordances | #Terms |
| --- | --- | --- | --- |
| Accommodation | 59 | Retreats | 59 |
| Attractions | 59 | Shopping | 59 |
| Beaches | 59 | Spirituality | 59 | | | Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |
| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 | | 0 |
| FRITESDE |
| --- |
| 65.8358.2059.7952.84 |
| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- | | | 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |
| --- |
| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |
| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 | | 1 |
| FRITESDE |
| --- |
| 65.8358.2059.7952.84 |
| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- | | | 1234567 |
| --- |
| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |
| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |
| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |
| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 | | 0 |
| FRITESDE |
| --- |
| 65.8358.2059.7952.84 | | | 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |
| --- |
| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |
| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |
| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 | | 1 |
| FRITESDE |
| --- |
| 65.8358.2059.7952.84 | | | 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |
| --- |
| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |
| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 | | 0 |
| Solver | lo | me | hi | 3hi |
| --- | --- | --- | --- | --- |
| MiFuMax | 0 | 0 | 0 | 0 |
| QWMaxSAT | 0 | 0 | 0 | 0 |
| Sat4j | 0 | 0 | 0 | 0 |
| MSUnCore | 0 | 0 | 0 | 0 |
| MaxSatz2013f | 30 | 30 | 29 | 30 |
| WMaxSatz-2009 | 30 | 30 | 29 | 30 | | | WMaxSatz+ | 30 | 30 | 29 | 30 |
| --- | --- | --- | --- | --- |
| ISAC+ | 29 | 8 | 1 | 10 | | 1 |
| Solver | lo | me | hi | 3hi |
| --- | --- | --- | --- | --- |
| MiFuMax | 0 | 0 | 0 | 0 |
| QWMaxSAT | 0 | 0 | 0 | 0 |
| Sat4j | 0 | 0 | 0 | 0 |
| MSUnCore | 0 | 0 | 0 | 0 |
| MaxSatz2013f | 30 | 30 | 29 | 30 |
| WMaxSatz-2009 | 30 | 30 | 29 | 30 | | | Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |
| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |
| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |
| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |
| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |
| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |
| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |
| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 | | 0 |
| Solver | lo | me | hi | 3hi |
| --- | --- | --- | --- | --- |
| MiFuMax | 0 | 0 | 0 | 0 |
| QWMaxSAT | 0 | 0 | 0 | 0 | | | Sat4j | 0 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- |
| MSUnCore | 0 | 0 | 0 | 0 |
| MaxSatz2013f | 30 | 30 | 29 | 30 |
| WMaxSatz-2009 | 30 | 30 | 29 | 30 |
| WMaxSatz+ | 30 | 30 | 29 | 30 |
| ISAC+ | 29 | 8 | 1 | 10 | | 1 |
| Solver | lo | me | hi | 3hi |
| --- | --- | --- | --- | --- |
| MiFuMax | 0 | 0 | 0 | 0 |
| QWMaxSAT | 0 | 0 | 0 | 0 | | | QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |
| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |
| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |
| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |
| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |
| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 | | 0 |
| d | Bing | Google | Ours |
| --- | --- | --- | --- |
| 0 | 87 | 97 | 100 |
| 1 | 78 | 54 | 98 | | | 2 | 71 | 3 | 98 |
| --- | --- | --- | --- |
| 3 | 59 | 3 | 94 |
| 4 | 55 | 2 | 86 | | 1 |
| d | Bing | Google | Ours |
| --- | --- | --- | --- |
| 0 | 87 | 97 | 100 |
| 1 | 78 | 54 | 98 | | | GoogleNexus7 | 50000Additions |
| --- | --- |
| n=200 | 688 |
| 2000 | 633 |
| 4000 | 679 |
| 6000 | 770 |
| 8000 | 743 |
| 10000 | 763 | | 0 |
| d | Bing | Google | Ours |
| --- | --- | --- | --- |
| 0 | 87 | 97 | 100 |
| 1 | 78 | 54 | 98 |
| 2 | 71 | 3 | 98 | | | 3 | 59 | 3 | 94 |
| --- | --- | --- | --- |
| 4 | 55 | 2 | 86 | | 1 |
| d | Bing | Google | Ours |
| --- | --- | --- | --- |
| 0 | 87 | 97 | 100 |
| 1 | 78 | 54 | 98 |
| 2 | 71 | 3 | 98 | | | 8000 | 743 |
| --- | --- |
| 10000 | 763 | | 0 |
| | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |
| --- | --- | --- | --- | --- | --- |
| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |
| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |
| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |
| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 | | | LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |
| --- | --- | --- | --- | --- | --- |
| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |
| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |
| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |
| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |
| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 | | 1 |
| | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |
| --- | --- | --- | --- | --- | --- |
| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |
| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |
| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |
| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 | | | | Ours | Shuffle&Learn | RandomInit. | AlexNet |
| --- | --- | --- | --- | --- |
| Head | 83.8 | 75.8 | 79.5 | 87.2 |
| Neck | 90.9 | 86.3 | 87.1 | 93.2 |
| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |
| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |
| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |
| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |
| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |
| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |
| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |
| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |
| Total | 72.7 | 69.3 | 65.4 | 78.0 | | 0 |
| | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |
| --- | --- | --- | --- | --- | --- |
| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |
| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 | | | LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |
| --- | --- | --- | --- | --- | --- |
| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |
| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |
| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |
| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |
| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |
| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |
| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 | | 1 |
| | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |
| --- | --- | --- | --- | --- | --- |
| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |
| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 | | | LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |
| --- | --- | --- | --- | --- |
| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |
| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |
| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |
| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |
| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |
| Total | 72.7 | 69.3 | 65.4 | 78.0 | | 0 |
| #oftargetimagesN | 400 | 1,500 |
| --- | --- | --- |
| Non-transfer | 0.724 | 0.753 |
| SSL | 0.750 | 0.789 | | | Oquabetal. | 0.763 | 0.782 |
| --- | --- | --- |
| Agrawaletal. | 0.753 | 0.781 |
| ATDL | 0.789 | 0.797 | | 1 |
| #oftargetimagesN | 400 | 1,500 |
| --- | --- | --- |
| Non-transfer | 0.724 | 0.753 |
| SSL | 0.750 | 0.789 | | | #oftargetimagesN | 1,000 | 5,000 | 10,000 |
| --- | --- | --- | --- |
| Non-transfer | 0.854 | 0.926 | 0.945 |
| SSL | 0.844 | 0.928 | 0.951 |
| Oquabetal. | 0.773 | 0.875 | 0.887 |
| Agrawaletal. | 0.844 | 0.923 | 0.951 |
| ATDL | 0.887 | 0.928 | 0.932 | | 0 |
| #oftargetimagesN | 400 | 1,500 |
| --- | --- | --- |
| Non-transfer | 0.724 | 0.753 | | | SSL | 0.750 | 0.789 |
| --- | --- | --- |
| Oquabetal. | 0.763 | 0.782 |
| Agrawaletal. | 0.753 | 0.781 |
| ATDL | 0.789 | 0.797 | | 1 |
| #oftargetimagesN | 400 | 1,500 |
| --- | --- | --- |
| Non-transfer | 0.724 | 0.753 | | | Oquabetal. | 0.773 | 0.875 | 0.887 |
| --- | --- | --- | --- |
| Agrawaletal. | 0.844 | 0.923 | 0.951 |
| ATDL | 0.887 | 0.928 | 0.932 | | 0 |
| Methods | | |
| --- | --- | --- |
| | | |
| IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |
| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 | | | LSTM+eventembedding&attrencoding | 0.9466±0.0002 | 0.7445±0.0007 |
| --- | --- | --- |
| | | | | 1 |
| Methods | | |
| --- | --- | --- |
| | | |
| IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |
| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 | | | methods | accuracy |
| --- | --- |
| LBPmultishot | 0.8517±0.0061 |
| LDML-MkNN | 0.8750±0.0040 |
| LBP+PLDA | 0.8733±0.0055 |
| high-dimLBP | 0.9318±0.0107 |
| Fishervectorfaces | 0.9303±0.0105 |
| ConvNet+RBM | 0.9175±0.0048 |
| Networkfusion+JB | 0.8763±0.0064 | | 0 |
| Methods | |
| --- | --- |
| | | | | IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |
| --- | --- | --- |
| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 |
| LSTM+eventembedding&attrencoding | 0.9466±0.0002 | 0.7445±0.0007 |
| | | | | 1 |
| Methods | |
| --- | --- |
| | | | | Fishervectorfaces | 0.9303±0.0105 |
| --- | --- |
| ConvNet+RBM | 0.9175±0.0048 |
| Networkfusion+JB | 0.8763±0.0064 | | 0 |
| Dataset | #Image | #Logo | #Brand | #LogoObject |
| --- | --- | --- | --- | --- |
| Logos-160 | 73414 | 160 | 100 | 130608 |
| Logos-18 | 8460 | 18 | 10 | 16043 |
| BelgaLogos | 10000 | 37 | 37 | 2695 | | | FlickrLogos-27 | 1080 | 27 | 27 | 4671 |
| --- | --- | --- | --- | --- |
| FlickrLogos-32 | 8240 | 32 | 32 | 5644 | | 1 |
| Dataset | #Image | #Logo | #Brand | #LogoObject |
| --- | --- | --- | --- | --- |
| Logos-160 | 73414 | 160 | 100 | 130608 |
| Logos-18 | 8460 | 18 | 10 | 16043 |
| BelgaLogos | 10000 | 37 | 37 | 2695 | | | Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |
| --- | --- | --- | --- | --- | --- | --- |
| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |
| Mall | 2000 | 320x240 | 13 | - | 53 | 62,325 |
| UCFCC50 | 50 | Varied | 94 | 1279 | 4543 | 63,974 |
| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |
| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |
| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 | | 0 |
| Dataset | #Image | #Logo | #Brand | #LogoObject |
| --- | --- | --- | --- | --- |
| Logos-160 | 73414 | 160 | 100 | 130608 |
| Logos-18 | 8460 | 18 | 10 | 16043 |
| BelgaLogos | 10000 | 37 | 37 | 2695 | | | FlickrLogos-27 | 1080 | 27 | 27 | 4671 |
| --- | --- | --- | --- | --- |
| FlickrLogos-32 | 8240 | 32 | 32 | 5644 | | 1 |
| Dataset | #Image | #Logo | #Brand | #LogoObject |
| --- | --- | --- | --- | --- |
| Logos-160 | 73414 | 160 | 100 | 130608 |
| Logos-18 | 8460 | 18 | 10 | 16043 |
| BelgaLogos | 10000 | 37 | 37 | 2695 | | | WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |
| --- | --- | --- | --- | --- | --- | --- |
| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |
| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 | | 0 |
| Datasettype | Synthesizable | Trainingset | Testset | | |
| --- | --- | --- | --- | --- | --- |
| Instances | Samples | Instances | Samples | | |
| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 | | | AndroidUI(XML) | 21×10 | 1500 | 85756 | 250 | 14265 |
| --- | --- | --- | --- | --- | --- |
| web-basedUI(HTML/CSS) | 31×10 | 1500 | 143850 | 250 | 24108 | | 1 |
| Datasettype | Synthesizable | Trainingset | Testset | | |
| --- | --- | --- | --- | --- | --- |
| Instances | Samples | Instances | Samples | | |
| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 | | | DataSet | Sentences# | Tokens# |
| --- | --- | --- |
| Training | 14,987 | 203,621 |
| Develop | 3,466 | 51,362 |
| Test | 3,684 | 46,435 |
| #oftagtypes(IOBESscheme) | 17 | | | 0 |
| Datasettype | Synthesizable | Trainingset | Testset | | |
| --- | --- | --- | --- | --- | --- |
| Instances | Samples | Instances | Samples | | |
| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 | | | AndroidUI(XML) | 21×10 | 1500 | 85756 | 250 | 14265 |
| --- | --- | --- | --- | --- | --- |
| web-basedUI(HTML/CSS) | 31×10 | 1500 | 143850 | 250 | 24108 | | 1 |
| Datasettype | Synthesizable | Trainingset | Testset | | |
| --- | --- | --- | --- | --- | --- |
| Instances | Samples | Instances | Samples | | |
| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 | | | Test | 3,684 | 46,435 |
| --- | --- | --- |
| #oftagtypes(IOBESscheme) | 17 | | | 0 |
| Descriptor | Extractingtime(ns) | Matchingtime(ns) |
| --- | --- | --- |
| SIFT | 235 | 940 |
| BinBoost | 6.48 | 36.45 | | | BRIEF | 12.54 | 35.46 |
| --- | --- | --- |
| RMGD | 10.46 | 32.46 | | 1 |
| Descriptor | Extractingtime(ns) | Matchingtime(ns) |
| --- | --- | --- |
| SIFT | 235 | 940 |
| BinBoost | 6.48 | 36.45 | | | Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |
| --- | --- | --- |
| 8 | 78.6 | 841 |
| 16 | 20.02 | 215 |
| 32 | 5.95 | 62.74 |
| 64 | 1.94 | 19.17 | | 0 |
| Descriptor | Extractingtime(ns) | Matchingtime(ns) |
| --- | --- | --- |
| SIFT | 235 | 940 | | | BinBoost | 6.48 | 36.45 |
| --- | --- | --- |
| BRIEF | 12.54 | 35.46 |
| RMGD | 10.46 | 32.46 | | 1 |
| Descriptor | Extractingtime(ns) | Matchingtime(ns) |
| --- | --- | --- |
| SIFT | 235 | 940 | | | 32 | 5.95 | 62.74 |
| --- | --- | --- |
| 64 | 1.94 | 19.17 | | 0 |
| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |
| --- | --- |
| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |
| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) | | | Range | t(Y,rdf:type,C)←t(P,rdfs:range,C)∧t(S,P,Y) |
| --- | --- |
| Transitivity | t(X,P,Z)←t(P,rdf:type,owl:TransitiveProperty)∧t(X,P,Y)∧t(Y,P,Z) |
| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |
| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |
| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 | | 1 |
| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |
| --- | --- |
| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |
| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) | | | ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |
| --- |
| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |
| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |
| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcbrotherba |
| ∀∀∀(,)∧(,)⇒(,)abcfatherabfatherbcgrandfatherac |
| ∀∀∀(,)∧(,)⇒(,)abcsonabsonbcgrandsonac |
| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |
| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |
| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |
| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |
| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |
| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |
| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae | | 0 |
| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |
| --- | --- |
| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |
| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) | | | Range | t(Y,rdf:type,C)←t(P,rdfs:range,C)∧t(S,P,Y) |
| --- | --- |
| Transitivity | t(X,P,Z)←t(P,rdf:type,owl:TransitiveProperty)∧t(X,P,Y)∧t(Y,P,Z) |
| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |
| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |
| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 | | 1 |
| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |
| --- | --- |
| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |
| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) | | | ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |
| --- |
| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |
| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae | | 0 |
| #procs | 8 | 12 | 16 |
| --- | --- | --- | --- |
| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |
| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |
| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |
| proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |
| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |
| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |
| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |
| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 | | | proc8 | | 66.63-75.02 | 50.04-56.24 |
| --- | --- | --- | --- |
| proc9 | | 75.02-83.31 | 56.24-62.52 |
| proc10 | | 83.31-91.61 | 62.52-68.73 |
| proc11 | | 91.61-95 | 68.73-75.01 |
| proc12 | | | 75.01-81.21 |
| proc13 | | | 81.21-87.50 |
| proc14 | | | 87.50-93.70 |
| proc15 | | | 93.70-95 | | 1 |
| #procs | 8 | 12 | 16 |
| --- | --- | --- | --- |
| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |
| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |
| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |
| proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |
| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |
| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |
| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |
| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 | | | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |
| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |
| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |
| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |
| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |
| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 | | 0 |
| #procs | 8 | 12 | 16 |
| --- | --- | --- | --- |
| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |
| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |
| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 | | | proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |
| --- | --- | --- | --- |
| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |
| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |
| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |
| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 |
| proc8 | | 66.63-75.02 | 50.04-56.24 |
| proc9 | | 75.02-83.31 | 56.24-62.52 |
| proc10 | | 83.31-91.61 | 62.52-68.73 |
| proc11 | | 91.61-95 | 68.73-75.01 |
| proc12 | | | 75.01-81.21 |
| proc13 | | | 81.21-87.50 |
| proc14 | | | 87.50-93.70 |
| proc15 | | | 93.70-95 | | 1 |
| #procs | 8 | 12 | 16 |
| --- | --- | --- | --- |
| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |
| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |
| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 | | | 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |
| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |
| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |
| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 | | 0 |
| Architecture | Layers | Neurons | #Params |
| --- | --- | --- | --- |
| relu-RNN | 4 | 607 | 6.1M |
| LSTM | 5 | 375 | 8.8M |
| GRU | 5 | 465 | 10.3M | | | M-GRU | 5 | 465 | 7.4M |
| --- | --- | --- | --- |
| Li-GRU | 5 | 465 | 7.4M | | 1 |
| Architecture | Layers | Neurons | #Params |
| --- | --- | --- | --- |
| relu-RNN | 4 | 607 | 6.1M |
| LSTM | 5 | 375 | 8.8M |
| GRU | 5 | 465 | 10.3M | | | Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |
| --- | --- | --- | --- | --- | --- |
| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |
| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |
| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |
| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |
| unit | mV | mV/ms | ms | synapses | neurons | | 0 |
| Architecture | Layers | Neurons | #Params |
| --- | --- | --- | --- |
| relu-RNN | 4 | 607 | 6.1M | | | LSTM | 5 | 375 | 8.8M |
| --- | --- | --- | --- |
| GRU | 5 | 465 | 10.3M |
| M-GRU | 5 | 465 | 7.4M |
| Li-GRU | 5 | 465 | 7.4M | | 1 |
| Architecture | Layers | Neurons | #Params |
| --- | --- | --- | --- |
| relu-RNN | 4 | 607 | 6.1M | | | C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |
| --- | --- | --- | --- | --- | --- |
| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |
| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |
| unit | mV | mV/ms | ms | synapses | neurons | | 0 |
| Size,QP | Proposedmethod | Methodin |
| --- | --- | --- |
| 64×64,22 | 0.79 | 0.78 | | | 128×128,22 | 0.91 | 0.90 |
| --- | --- | --- |
| 64×64,32 | 0.96 | 0.80 |
| 128×128,32 | 0.99 | 0.89 |
| 64×64,42 | 0.61 | 0.75 |
| 128×128,42 | 0.84 | 0.89 |
| Average | 0.85 | 0.84 | | 1 |
| Size,QP | Proposedmethod | Methodin |
| --- | --- | --- |
| 64×64,22 | 0.79 | 0.78 | | | Size,QP | Proposedmethod | Methodin |
| --- | --- | --- |
| 64×64,22 | 0.72 | 0.70 |
| 128×128,22 | 0.88 | 0.87 |
| 64×64,32 | 0.95 | 0.72 |
| 128×128,32 | 0.98 | 0.85 |
| 64×64,42 | 0.50 | 0.64 |
| 128×128,42 | 0.79 | 0.85 |
| Average | 0.80 | 0.77 | | 0 |
| Size,QP | Proposedmethod | Methodin |
| --- | --- | --- |
| 64×64,22 | 0.79 | 0.78 | | | 128×128,22 | 0.91 | 0.90 |
| --- | --- | --- |
| 64×64,32 | 0.96 | 0.80 |
| 128×128,32 | 0.99 | 0.89 |
| 64×64,42 | 0.61 | 0.75 |
| 128×128,42 | 0.84 | 0.89 |
| Average | 0.85 | 0.84 | | 1 |
| Size,QP | Proposedmethod | Methodin |
| --- | --- | --- |
| 64×64,22 | 0.79 | 0.78 | | | 64×64,42 | 0.50 | 0.64 |
| --- | --- | --- |
| 128×128,42 | 0.79 | 0.85 |
| Average | 0.80 | 0.77 | | 0 |
| Category | NumberTiles |
| --- | --- |
| Documentsofalllengths | | | | Relevant<br>Notrelevant | 7563.8<br>44063.6 |
| --- | --- |
| Documentsoverathousandwords | |
| Relevant<br>Misses | 1768.1<br>9858.8 | | 1 |
| Category | NumberTiles |
| --- | --- |
| Documentsofalllengths | | | | Totalvocabularysize | 768,298 |
| --- | --- |
| Mediandocumentlength | 346characters |
| Mediannumberofwords | 54 |
| Mediansentencelength | 51characters |
| MedianNbrofwordsinsentence | 8 | | 0 |
| Category | NumberTiles |
| --- | --- |
| Documentsofalllengths | | | | Relevant<br>Notrelevant | 7563.8<br>44063.6 |
| --- | --- |
| Documentsoverathousandwords | |
| Relevant<br>Misses | 1768.1<br>9858.8 | | 1 |
| Category | NumberTiles |
| --- | --- |
| Documentsofalllengths | | | | Mediannumberofwords | 54 |
| --- | --- |
| Mediansentencelength | 51characters |
| MedianNbrofwordsinsentence | 8 | | 0 |
| Video | MSSIM | MSSSIM | PSNR(dB) |
| --- | --- | --- | --- |
| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |
| Backdoor | 0.9836 | 0.9978 | 60.4562 |
| Busstation | 0.9892 | 0.9987 | 57.7467 | | | IntermittentPan | 0.9836 | 0.9978 | 57.7169 |
| --- | --- | --- | --- |
| TunnelExit | 0.9832 | 0.9977 | 57.6781 |
| Port | 0.9833 | 0.9978 | 57.6868 |
| Fountain | 0.9886 | 0.9985 | 57.6812 |
| Overpass | 0.9847 | 0.998 | 57.676 |
| Fountain2 | 0.9934 | 0.9992 | 57.6777 |
| Canoe | 0.9858 | 0.9981 | 57.678 |
| Fall | 0.9853 | 0.9980 | 57.7461 | | 1 |
| Video | MSSIM | MSSSIM | PSNR(dB) |
| --- | --- | --- | --- |
| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |
| Backdoor | 0.9836 | 0.9978 | 60.4562 |
| Busstation | 0.9892 | 0.9987 | 57.7467 | | | VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| Video | MSSIM | MSSSIM | PSNR(dB) |
| --- | --- | --- | --- |
| AbandonedBox | 0.9836 | 0.9980 | 58.6752 | | | Backdoor | 0.9836 | 0.9978 | 60.4562 |
| --- | --- | --- | --- |
| Busstation | 0.9892 | 0.9987 | 57.7467 |
| IntermittentPan | 0.9836 | 0.9978 | 57.7169 |
| TunnelExit | 0.9832 | 0.9977 | 57.6781 |
| Port | 0.9833 | 0.9978 | 57.6868 |
| Fountain | 0.9886 | 0.9985 | 57.6812 |
| Overpass | 0.9847 | 0.998 | 57.676 |
| Fountain2 | 0.9934 | 0.9992 | 57.6777 |
| Canoe | 0.9858 | 0.9981 | 57.678 |
| Fall | 0.9853 | 0.9980 | 57.7461 | | 1 |
| Video | MSSIM | MSSSIM | PSNR(dB) |
| --- | --- | --- | --- |
| AbandonedBox | 0.9836 | 0.9980 | 58.6752 | | | viaBrennero | 0.4770 | 0.4823 |
| --- | --- | --- |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| 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 | | 1 |
| 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 | | | 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 | | 0 |
| 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 | | 1 |
| 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 | | | 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 | | 0 |
| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |
| --- | --- | --- | --- | --- |
| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |
| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |
| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |
| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |
| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– | | | 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |
| --- | --- | --- | --- | --- |
| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– | | 1 |
| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |
| --- | --- | --- | --- | --- |
| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |
| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |
| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |
| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |
| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– | | | MR | CR |
| --- | --- |
| 71.11±0.80 | 71.22±1.04 |
| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |
| 79.84±1.26 | 83.61±1.60 |
| MPQA | TREC |
| 67.93±0.57 | 86.30±1.10 |
| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |
| 90.42±0.71 | 91.10±1.04 | | 0 |
| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |
| --- | --- | --- | --- | --- |
| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |
| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |
| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |
| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |
| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– | | | 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |
| --- | --- | --- | --- | --- |
| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– | | 1 |
| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |
| --- | --- | --- | --- | --- |
| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |
| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |
| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |
| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |
| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– | | | 67.93±0.57 | 86.30±1.10 |
| --- | --- |
| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |
| 90.42±0.71 | 91.10±1.04 | | 0 |
| Approaches | One-best | Lattices | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |
| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |
| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 | | |
| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 | |
| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 | | |
| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 | |
| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |
| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 | | |
| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |
| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 | | | | | (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |
| --- | --- | --- | --- | --- | --- | --- |
| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 | | |
| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |
| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 | | |
| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |
| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 | | | | 1 |
| Approaches | One-best | Lattices | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |
| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |
| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 | | |
| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 | |
| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 | | |
| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 | |
| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |
| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 | | |
| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |
| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 | | | | | | DQN | D-DQN | DuelingD-DQN | Human |
| --- | --- | --- | --- | --- |
| F-Zero | 3116 | 3636 | 5161 | 6298 |
| GradiusIII | 7583 | 12343 | 16929 | 24440 |
| MortalKombat | 83733 | 56200 | 169300 | 132441 |
| SuperMario | 11765 | 16946 | 20030 | 36386 |
| Wolfenstein | 100 | 83 | 40 | 2952 | | 0 |
| Approaches | One-best | Lattices | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |
| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |
| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 | | |
| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 | |
| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 | | |
| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 | |
| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 | | | Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 | | |
| --- | --- | --- | --- | --- | --- | --- |
| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |
| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 | | |
| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |
| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 | | |
| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |
| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 | | |
| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |
| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 | | | | 1 |
| Approaches | One-best | Lattices | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |
| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |
| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 | | |
| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 | |
| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 | | |
| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 | |
| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 | | | GradiusIII | 7583 | 12343 | 16929 | 24440 |
| --- | --- | --- | --- | --- |
| MortalKombat | 83733 | 56200 | 169300 | 132441 |
| SuperMario | 11765 | 16946 | 20030 | 36386 |
| Wolfenstein | 100 | 83 | 40 | 2952 | | 0 |
| EmbeddingE | GeneratorG |
| --- | --- |
| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU | | | FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |
| --- | --- |
| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |
| FC(64),BN,ReLU | FC(1024),BN,ReLU |
| FC(128),BN,ReLU | FC(128),BN,ReLU |
| FC(136),Tanh | FC(4096),BN,ReLU |
| DiscriminatorD | DeConv(256,5,2),BN,ReLU |
| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |
| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |
| Conv(256,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |
| Conv(512,5,2),LN,LReLU | Conv(3,5,1),BN,Tanh |
| Conv(1,5,2) | | | 1 |
| EmbeddingE | GeneratorG |
| --- | --- |
| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU | | | 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 |
| EmbeddingE | GeneratorG |
| --- | --- |
| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |
| FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |
| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |
| FC(64),BN,ReLU | FC(1024),BN,ReLU |
| FC(128),BN,ReLU | FC(128),BN,ReLU |
| FC(136),Tanh | FC(4096),BN,ReLU |
| DiscriminatorD | DeConv(256,5,2),BN,ReLU |
| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |
| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU | | | Conv(256,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |
| --- | --- |
| Conv(512,5,2),LN,LReLU | Conv(3,5,1),BN,Tanh |
| Conv(1,5,2) | | | 1 |
| EmbeddingE | GeneratorG |
| --- | --- |
| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |
| FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |
| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |
| FC(64),BN,ReLU | FC(1024),BN,ReLU |
| FC(128),BN,ReLU | FC(128),BN,ReLU |
| FC(136),Tanh | FC(4096),BN,ReLU |
| DiscriminatorD | DeConv(256,5,2),BN,ReLU |
| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |
| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU | | | Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |
| --- | --- | --- | --- |
| | | 4×4×Nc | 4×4ConvT()Nc | | 0 |
| Reference/System | PR | (P+R)/2F |
| --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |
| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 | | | SimilaritySwitching | 89.5089.88 | 89.6989.69 |
| --- | --- | --- |
| ConstituentVoting | 92.0989.18 | 90.6490.61 | | 1 |
| Reference/System | PR | (P+R)/2F |
| --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |
| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 | | | Reference/System | PR | (P+R)/2F |
| --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |
| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |
| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |
| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 | | 0 |
| Reference/System | PR | (P+R)/2F |
| --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 | | | ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 |
| --- | --- | --- |
| SimilaritySwitching | 89.5089.88 | 89.6989.69 |
| ConstituentVoting | 92.0989.18 | 90.6490.61 | | 1 |
| Reference/System | PR | (P+R)/2F |
| --- | --- | --- |
| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 | | | ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |
| --- | --- | --- |
| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |
| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 | | 0 |
| x1,1 | x1,2 | ... | ... | x1,N |
| --- | --- | --- | --- | --- |
| x2,1 | x2,2 | ... | ... | x2,N |
| ... | ... | ... | ... | ... | | | ... | ... | ... | ... | ... |
| --- | --- | --- | --- | --- |
| xM,1 | xM,2 | ... | ... | xM,N | | 1 |
| x1,1 | x1,2 | ... | ... | x1,N |
| --- | --- | --- | --- | --- |
| x2,1 | x2,2 | ... | ... | x2,N |
| ... | ... | ... | ... | ... | | | M | L | N | g1 | g2 | M | L | N | g1 | g2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |
| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |
| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |
| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |
| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 | | 0 |
| x1,1 | x1,2 | ... | ... | x1,N |
| --- | --- | --- | --- | --- |
| x2,1 | x2,2 | ... | ... | x2,N |
| ... | ... | ... | ... | ... | | | ... | ... | ... | ... | ... |
| --- | --- | --- | --- | --- |
| xM,1 | xM,2 | ... | ... | xM,N | | 1 |
| x1,1 | x1,2 | ... | ... | x1,N |
| --- | --- | --- | --- | --- |
| x2,1 | x2,2 | ... | ... | x2,N |
| ... | ... | ... | ... | ... | | | 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |
| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |
| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 | | 0 |
| 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 | | 1 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.7347 | blocklar | sahinagic |
| 0.7458 | frankenfeld | dhumatkar |
| 0.7429 | kolin | wendly |
| 0.7429 | lehky | turcon | | | 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 | | 0 |
| 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 | | 1 |
| Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.7347 | blocklar | sahinagic |
| 0.7458 | frankenfeld | dhumatkar | | | 0.769 | diz | pats |
| --- | --- | --- |
| 0.744 | himarios | nikezic |
| 0.757 | lebris | ravino |
| 0.750 | singsuk | lebudel |
| 0.750 | waku | arrama | | 0 |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| --- | --- | --- |
| Spring | 0.0460.2490.157 | 0.0630.324 |
| Gravity | 0.0080.0480.043 | 0.0130.081 | | | MagneticBilliards | 0.1110.3980.314 | 0.1790.332 |
| --- | --- | --- |
| Billiards | 0.1510.3910.308 | 0.1990.348 |
| Euclideandeviationperobjectafterfullframewidthistravelled | | |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| Spring | 0.0690.3040.213 | 0.0910.360 |
| Gravity | 0.0090.0380.038 | 0.0100.057 |
| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |
| Billiards | 0.1790.4700.395 | 0.2230.411 | | 1 |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| --- | --- | --- |
| Spring | 0.0460.2490.157 | 0.0630.324 |
| Gravity | 0.0080.0480.043 | 0.0130.081 | | | 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |
| --- | --- | --- |
| Spring | 1.8313.2721.646 | 0.4261.844 |
| Gravity | 1.2881.5721.194 | 0.1460.191 |
| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |
| Billiards | 1.6002.7521.391 | 0.9422.507 |
| Drift | 2.9203.6632.474 | 0.00170.0052 |
| | | |
| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |
| Spring | 0.6080.8580.565 | 0.2350.324 |
| Gravity | 0.4220.5970.416 | 0.0920.157 |
| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |
| Billiards | 1.0222.5820.918 | 0.8171.919 |
| Drift | 0.8311.0830.749 | 0.00250.0069 | | 0 |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| --- | --- | --- |
| Spring | 0.0460.2490.157 | 0.0630.324 |
| Gravity | 0.0080.0480.043 | 0.0130.081 |
| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 | | | Billiards | 0.1510.3910.308 | 0.1990.348 |
| --- | --- | --- |
| Euclideandeviationperobjectafterfullframewidthistravelled | | |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| Spring | 0.0690.3040.213 | 0.0910.360 |
| Gravity | 0.0090.0380.038 | 0.0100.057 |
| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |
| Billiards | 0.1790.4700.395 | 0.2230.411 | | 1 |
| | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |
| --- | --- | --- |
| Spring | 0.0460.2490.157 | 0.0630.324 |
| Gravity | 0.0080.0480.043 | 0.0130.081 |
| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 | | | Drift | 2.9203.6632.474 | 0.00170.0052 |
| --- | --- | --- |
| | | |
| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |
| Spring | 0.6080.8580.565 | 0.2350.324 |
| Gravity | 0.4220.5970.416 | 0.0920.157 |
| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |
| Billiards | 1.0222.5820.918 | 0.8171.919 |
| Drift | 0.8311.0830.749 | 0.00250.0069 | | 0 |
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