premise string | hypothesis string | label int64 |
|---|---|---|
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 1e-56* | - | - | - | | | TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |
| --- | --- | --- | --- | --- |
| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |
| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 | | 1 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 1e-56* | - | - | - | | | | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 5.6e-09* | - | - | - |
| TermRetrieval | 1.2e-08* | 0.88 | - | - |
| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |
| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 | | 0 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 1e-56* | - | - | - |
| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - | | | SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |
| --- | --- | --- | --- | --- |
| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 | | 1 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 1e-56* | - | - | - |
| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - | | | TermRetrieval | 1.2e-08* | 0.88 | - | - |
| --- | --- | --- | --- | --- |
| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |
| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 | | 0 |
| Languages | MovieCount | UserCount |
| --- | --- | --- |
| Hindi | 615 | 902 |
| Bengali | 582 | 28 |
| Assamese | 22 | 9 |
| Tamil | 313 | 30 |
| Nepali | 51 | 9 |
| Punjabi | 150 | 78 |
| Rajasthani | 18 | 14 |
| Malayalam | 346 | 16 |
| Bhojpuri | 26 | 21 |
| Kannada | 303 | 11 |
| Haryanvi | 3 | 18 |
| Manipuri | 8 | 4 |
| Urdu | 129 | 23 |
| Marathi | 204 | 14 | | | Telugu | 338 | 18 |
| --- | --- | --- |
| Oriya | 98 | 6 |
| Gujarati | 49 | 7 |
| Konkani | 6 | 4 | | 1 |
| Languages | MovieCount | UserCount |
| --- | --- | --- |
| Hindi | 615 | 902 |
| Bengali | 582 | 28 |
| Assamese | 22 | 9 |
| Tamil | 313 | 30 |
| Nepali | 51 | 9 |
| Punjabi | 150 | 78 |
| Rajasthani | 18 | 14 |
| Malayalam | 346 | 16 |
| Bhojpuri | 26 | 21 |
| Kannada | 303 | 11 |
| Haryanvi | 3 | 18 |
| Manipuri | 8 | 4 |
| Urdu | 129 | 23 |
| Marathi | 204 | 14 | | | Corpus | Language | #Instances | #Words(F/E) |
| --- | --- | --- | --- |
| HindiTreebank | Hindi | 147 | 963/945 |
| ODIN | German | 105 | 747/774 |
| Irish | 46 | 252/278 | |
| Hausa | 77 | 424/520 | |
| Korean | 103 | 518/731 | |
| Malagasy | 87 | 489/646 | |
| Welsh | 53 | 312/329 | |
| Yaqui | 68 | 350/544 | |
| SMULTRON | German | 281 | 6829/7236 |
| Swedish | 281 | 8402/9377 | | | 0 |
| Languages | MovieCount | UserCount |
| --- | --- | --- |
| Hindi | 615 | 902 |
| Bengali | 582 | 28 |
| Assamese | 22 | 9 |
| Tamil | 313 | 30 |
| Nepali | 51 | 9 |
| Punjabi | 150 | 78 | | | Rajasthani | 18 | 14 |
| --- | --- | --- |
| Malayalam | 346 | 16 |
| Bhojpuri | 26 | 21 |
| Kannada | 303 | 11 |
| Haryanvi | 3 | 18 |
| Manipuri | 8 | 4 |
| Urdu | 129 | 23 |
| Marathi | 204 | 14 |
| Telugu | 338 | 18 |
| Oriya | 98 | 6 |
| Gujarati | 49 | 7 |
| Konkani | 6 | 4 | | 1 |
| Languages | MovieCount | UserCount |
| --- | --- | --- |
| Hindi | 615 | 902 |
| Bengali | 582 | 28 |
| Assamese | 22 | 9 |
| Tamil | 313 | 30 |
| Nepali | 51 | 9 |
| Punjabi | 150 | 78 | | | Hausa | 77 | 424/520 | |
| --- | --- | --- | --- |
| Korean | 103 | 518/731 | |
| Malagasy | 87 | 489/646 | |
| Welsh | 53 | 312/329 | |
| Yaqui | 68 | 350/544 | |
| SMULTRON | German | 281 | 6829/7236 |
| Swedish | 281 | 8402/9377 | | | 0 |
| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |
| JavaSHA1PRNG | | | | | | | | | |
| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |
| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |
| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |
| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |
| NISTSP80090ASHA1-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |
| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |
| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |
| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |
| NISTSP80090ASHA256-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |
| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |
| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |
| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |
| NISTSP80090ASHA256-DRBGatsamplesize10000 | | | | | | | | | | | | 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |
| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |
| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 | | 1 |
| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |
| JavaSHA1PRNG | | | | | | | | | |
| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |
| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |
| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |
| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |
| NISTSP80090ASHA1-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |
| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |
| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |
| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |
| NISTSP80090ASHA256-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |
| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |
| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |
| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |
| NISTSP80090ASHA256-DRBGatsamplesize10000 | | | | | | | | | | | | 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |
| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |
| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |
| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |
| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | | 0 |
| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |
| JavaSHA1PRNG | | | | | | | | | |
| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |
| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |
| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 | | | −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NISTSP80090ASHA1-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |
| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |
| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |
| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |
| NISTSP80090ASHA256-DRBGatsamplesize1000 | | | | | | | | | |
| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |
| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |
| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |
| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |
| NISTSP80090ASHA256-DRBGatsamplesize10000 | | | | | | | | | |
| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |
| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |
| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |
| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 | | 1 |
| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |
| JavaSHA1PRNG | | | | | | | | | |
| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |
| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |
| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 | | | 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | | 0 |
| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |
| --- | --- | --- |
| SourceOnly | 78.9 | 63.6(56.6) |
| CORAL | 81.7 | 57.7 |
| MMD | 81.1 | 76.9 |
| DANN | 85.1 | 77.4 |
| DSN | 91.3 | 83.2 |
| CoGAN | 91.2 | 62.0 | | | OurPixelDA | 95.9 | 98.2 |
| --- | --- | --- |
| Target-only | 96.5 | 96.4(95.9) | | 1 |
| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |
| --- | --- | --- |
| SourceOnly | 78.9 | 63.6(56.6) |
| CORAL | 81.7 | 57.7 |
| MMD | 81.1 | 76.9 |
| DANN | 85.1 | 77.4 |
| DSN | 91.3 | 83.2 |
| CoGAN | 91.2 | 62.0 | | | Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |
| --- | --- | --- | --- | --- | --- | --- |
| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |
| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 | | |
| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |
| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 | | | | 0 |
| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |
| --- | --- | --- |
| SourceOnly | 78.9 | 63.6(56.6) |
| CORAL | 81.7 | 57.7 |
| MMD | 81.1 | 76.9 |
| DANN | 85.1 | 77.4 | | | DSN | 91.3 | 83.2 |
| --- | --- | --- |
| CoGAN | 91.2 | 62.0 |
| OurPixelDA | 95.9 | 98.2 |
| Target-only | 96.5 | 96.4(95.9) | | 1 |
| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |
| --- | --- | --- |
| SourceOnly | 78.9 | 63.6(56.6) |
| CORAL | 81.7 | 57.7 |
| MMD | 81.1 | 76.9 |
| DANN | 85.1 | 77.4 | | | DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 | | |
| --- | --- | --- | --- | --- | --- | --- |
| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |
| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 | | | | 0 |
| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |
| --- | --- | --- | --- | --- |
| makeanattempt | attempt | make | include | 9.36 |
| makeachange | change | make | produce | 1.85 |
| makeaconcession | concede | make | include | 11.47 |
| makeademand | demand | make | create | 1.03 | | | makeadistinction | distinguish | make | have | 3.04 |
| --- | --- | --- | --- | --- |
| haveadrink(of) | drink | become | N/A | N/A |
| haveaneffect(on) | affect | have | produce | 3.04 |
| haveafeeling | feel | have | produce | 3.27 |
| makeagift(of) | give | have | include | 9.89 |
| doharm(to) | harm | cause | do | 1.26 |
| makeajudgment | judge | make | have | 2.43 |
| haveaknowledge(of) | know | have | use | 12.36 |
| makeprogress | progress | make | allow | 64.33 |
| makeaproposal | propose | make | include | 1.10 |
| beararesemblance(to) | resemble | bear | have | 2.64 |
| giveashove(to) | shove | N/A | N/A | N/A |
| haveasnooze | snooze | N/A | N/A | N/A |
| makeuse(of) | use | make | have | 6.55 | | 1 |
| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |
| --- | --- | --- | --- | --- |
| makeanattempt | attempt | make | include | 9.36 |
| makeachange | change | make | produce | 1.85 |
| makeaconcession | concede | make | include | 11.47 |
| makeademand | demand | make | create | 1.03 | | | SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |
| --- | --- | --- | --- | --- | --- |
| makeanattempt | attempt | [??] | make | include | 9.36 |
| makeachange | change | [??] | make | produce | 1.85 |
| makeaconcession | concede | [??] | make | include | 11.47 |
| makeademand | demand | [??] | make | create | 1.03 |
| makeadistinction | distinguish | [??] | make | have | 3.04 |
| haveadrink(of) | drink | [??] | become | N/A | N/A |
| haveaneffect(on) | affect | [??] | have | produce | 3.04 |
| haveafeeling | feel | [??] | have | produce | 3.27 |
| makeagift(of) | give | [??] | have | include | 9.89 |
| doharm(to) | harm | [??] | cause | do | 1.26 |
| makeajudgment | judge | [??] | make | have | 2.43 |
| haveaknowledge(of) | know | [??] | have | use | 12.36 |
| makeprogress | progress | [??] | make | allow | 64.33 |
| makeaproposal | propose | [??] | make | include | 1.10 |
| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |
| giveashove(to) | shove | [??] | N/A | N/A | N/A |
| haveasnooze | snooze | [??] | N/A | N/A | N/A |
| makeuse(of) | use | [??] | make | have | 6.55 | | 0 |
| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |
| --- | --- | --- | --- | --- |
| makeanattempt | attempt | make | include | 9.36 |
| makeachange | change | make | produce | 1.85 |
| makeaconcession | concede | make | include | 11.47 |
| makeademand | demand | make | create | 1.03 |
| makeadistinction | distinguish | make | have | 3.04 |
| haveadrink(of) | drink | become | N/A | N/A |
| haveaneffect(on) | affect | have | produce | 3.04 | | | haveafeeling | feel | have | produce | 3.27 |
| --- | --- | --- | --- | --- |
| makeagift(of) | give | have | include | 9.89 |
| doharm(to) | harm | cause | do | 1.26 |
| makeajudgment | judge | make | have | 2.43 |
| haveaknowledge(of) | know | have | use | 12.36 |
| makeprogress | progress | make | allow | 64.33 |
| makeaproposal | propose | make | include | 1.10 |
| beararesemblance(to) | resemble | bear | have | 2.64 |
| giveashove(to) | shove | N/A | N/A | N/A |
| haveasnooze | snooze | N/A | N/A | N/A |
| makeuse(of) | use | make | have | 6.55 | | 1 |
| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |
| --- | --- | --- | --- | --- |
| makeanattempt | attempt | make | include | 9.36 |
| makeachange | change | make | produce | 1.85 |
| makeaconcession | concede | make | include | 11.47 |
| makeademand | demand | make | create | 1.03 |
| makeadistinction | distinguish | make | have | 3.04 |
| haveadrink(of) | drink | become | N/A | N/A |
| haveaneffect(on) | affect | have | produce | 3.04 | | | giveashove(to) | shove | [??] | N/A | N/A | N/A |
| --- | --- | --- | --- | --- | --- |
| haveasnooze | snooze | [??] | N/A | N/A | N/A |
| makeuse(of) | use | [??] | make | have | 6.55 | | 0 |
| ScriptType | Model | Parameter | Description | Value |
| --- | --- | --- | --- | --- |
| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |
| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 | | | VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |
| --- | --- | --- | --- | --- |
| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 | | 1 |
| ScriptType | Model | Parameter | Description | Value |
| --- | --- | --- | --- | --- |
| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |
| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 | | | ScriptType | Model | Parameter | Description | Value |
| --- | --- | --- | --- | --- |
| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |
| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |
| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |
| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 | | 0 |
| ScriptType | Model | Parameter | Description | Value |
| --- | --- | --- | --- | --- |
| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 | | | JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |
| --- | --- | --- | --- | --- |
| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |
| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 | | 1 |
| ScriptType | Model | Parameter | Description | Value |
| --- | --- | --- | --- | --- |
| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 | | | JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |
| --- | --- | --- | --- | --- |
| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |
| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 | | 0 |
| Group | 2011 | 2012 | 2013 | 2014 | 2015 |
| --- | --- | --- | --- | --- | --- |
| NoABI | 42 | 45 | 47 | 41 | 41 |
| NewABI | 34 | 33 | 30 | 28 | 31 | | | MatureABI | 36 | 36 | 44 | 42 | 42 |
| --- | --- | --- | --- | --- | --- |
| NL | 56 | 57 | 58 | 56 | 52 | | 1 |
| Group | 2011 | 2012 | 2013 | 2014 | 2015 |
| --- | --- | --- | --- | --- | --- |
| NoABI | 42 | 45 | 47 | 41 | 41 |
| NewABI | 34 | 33 | 30 | 28 | 31 | | | Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |
| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |
| 3 | 15 | 58 | 76 | 120 | 129 | 153 | 198 | 235 | 247 |
| 4 | 23 | 58 | 76 | 120 | 129 | 178 | 185 | 235 | 261 |
| 5 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |
| 6 | 23 | 58 | 76 | 111 | 129 | 178 | 196 | 224 | 261 |
| 7 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |
| 8 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |
| 9 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 247 |
| 10 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 224 | 261 |
| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |
| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |
| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 | | 0 |
| Group | 2011 | 2012 | 2013 | 2014 | 2015 |
| --- | --- | --- | --- | --- | --- |
| NoABI | 42 | 45 | 47 | 41 | 41 | | | NewABI | 34 | 33 | 30 | 28 | 31 |
| --- | --- | --- | --- | --- | --- |
| MatureABI | 36 | 36 | 44 | 42 | 42 |
| NL | 56 | 57 | 58 | 56 | 52 | | 1 |
| Group | 2011 | 2012 | 2013 | 2014 | 2015 |
| --- | --- | --- | --- | --- | --- |
| NoABI | 42 | 45 | 47 | 41 | 41 | | | 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |
| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 | | 0 |
| Layer | Size | Operation | Kernel |
| --- | --- | --- | --- |
| C1 | N1 | Convolution | 3x3 |
| S1 | N1 | Maxsub-sampling | 2x2 |
| C2 | N2 | Convolution | 3x3 |
| S2 | N2 | Maxsub-sampling | 2x2 | | | C2 | N3 | Convolution | 3x3 |
| --- | --- | --- | --- |
| FC | 10 | Innerproduct | - |
| Classif | 10 | Softmax | - | | 1 |
| Layer | Size | Operation | Kernel |
| --- | --- | --- | --- |
| C1 | N1 | Convolution | 3x3 |
| S1 | N1 | Maxsub-sampling | 2x2 |
| C2 | N2 | Convolution | 3x3 |
| S2 | N2 | Maxsub-sampling | 2x2 | | | Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| 2 | Convolution+Maxout | 488×8filters | |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| Layer | Size | Operation | Kernel |
| --- | --- | --- | --- |
| C1 | N1 | Convolution | 3x3 | | | S1 | N1 | Maxsub-sampling | 2x2 |
| --- | --- | --- | --- |
| C2 | N2 | Convolution | 3x3 |
| S2 | N2 | Maxsub-sampling | 2x2 |
| C2 | N3 | Convolution | 3x3 |
| FC | 10 | Innerproduct | - |
| Classif | 10 | Softmax | - | | 1 |
| Layer | Size | Operation | Kernel |
| --- | --- | --- | --- |
| C1 | N1 | Convolution | 3x3 | | | 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| --- | --- | --- | --- |
| 2 | Convolution+Maxout | 488×8filters | |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |
| --- | --- | --- | --- | --- |
| Classical | 2998 | 9945 | 34029 | 131817 |
| Barrett | 3126 | 8072 | 22779 | 72533 | | | FirstMethod | 3965 | 8421 | 21840 | 68012 |
| --- | --- | --- | --- | --- |
| SecondMethod | 4975 | 8629 | 19946 | 58948 | | 1 |
| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |
| --- | --- | --- | --- | --- |
| Classical | 2998 | 9945 | 34029 | 131817 |
| Barrett | 3126 | 8072 | 22779 | 72533 | | | 1 | 2 | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| Classical | 5 | 25 | 3 | 9 | 27 | 81 |
| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |
| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |
| N=3E | 425 | 180625 | - | - | - | - | | 0 |
| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |
| --- | --- | --- | --- | --- |
| Classical | 2998 | 9945 | 34029 | 131817 |
| Barrett | 3126 | 8072 | 22779 | 72533 | | | FirstMethod | 3965 | 8421 | 21840 | 68012 |
| --- | --- | --- | --- | --- |
| SecondMethod | 4975 | 8629 | 19946 | 58948 | | 1 |
| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |
| --- | --- | --- | --- | --- |
| Classical | 2998 | 9945 | 34029 | 131817 |
| Barrett | 3126 | 8072 | 22779 | 72533 | | | Classical | 5 | 25 | 3 | 9 | 27 | 81 |
| --- | --- | --- | --- | --- | --- | --- |
| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |
| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |
| N=3E | 425 | 180625 | - | - | - | - | | 0 |
| On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α |
| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 | | | 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |
| --- | --- | --- | --- | --- | --- |
| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |
| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |
| | | 9 | 0.10 | 14 | 0.50 | | 1 |
| On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α |
| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 | | | On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α |
| 1 | -1.00 | 5 | -0.20 | 10 | 1.48 |
| 2 | -1.00 | 6 | 1.29 | 11 | -2.57 |
| 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |
| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |
| | | 9 | 1.12 | 14 | 0.52 | | 0 |
| On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α | | | 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |
| --- | --- | --- | --- | --- | --- |
| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |
| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |
| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |
| | | 9 | 0.10 | 14 | 0.50 | | 1 |
| On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α | | | 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |
| --- | --- | --- | --- | --- | --- |
| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |
| | | 9 | 1.12 | 14 | 0.52 | | 0 |
| 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 | | 1 |
| Imagename | NPCR | InformationEntropy |
| --- | --- | --- |
| Lena | 99.6170 | 7.9966 |
| Barbara | 99.6475 | 7.9969 | | | Imagename | Horizontal | Vertical | Diagonal |
| --- | --- | --- | --- |
| Lena | 0.9303 | 0.9485 | 0.8588 |
| Barbara | 0.8499 | 0.8811 | 0.8679 |
| Baboon | 0.8250 | 0.7944 | 0.7577 |
| Boat | 0.8799 | 0.9005 | 0.8136 |
| Peppers | 0.9448 | 0.9532 | 0.9067 | | 0 |
| 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 | | 1 |
| Imagename | NPCR | InformationEntropy |
| --- | --- | --- |
| Lena | 99.6170 | 7.9966 |
| Barbara | 99.6475 | 7.9969 | | | Baboon | 0.8250 | 0.7944 | 0.7577 |
| --- | --- | --- | --- |
| Boat | 0.8799 | 0.9005 | 0.8136 |
| Peppers | 0.9448 | 0.9532 | 0.9067 | | 0 |
| Method | Size | Oxf5k | Oxf105k | Paris6k |
| --- | --- | --- | --- | --- |
| TEmb | 1024 | 56.0 | 50.2 | - |
| NetVLAD | 4096 | 71.6 | - | 79.7 |
| MAC | 512 | 58.3 | 49.2 | 72.6 | | | R-MAC | 512 | 66.9 | 61.6 | 83.0 |
| --- | --- | --- | --- | --- |
| CroW | 512 | 68.2 | 63.2 | 79.7 |
| MAC* | 512 | 80.0 | 75.1 | 82.9 |
| SUMPool | 512 | 79.5 | 75.0 | 81.3 |
| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 | | 1 |
| Method | Size | Oxf5k | Oxf105k | Paris6k |
| --- | --- | --- | --- | --- |
| TEmb | 1024 | 56.0 | 50.2 | - |
| NetVLAD | 4096 | 71.6 | - | 79.7 |
| MAC | 512 | 58.3 | 49.2 | 72.6 | | | Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |
| --- | --- | --- | --- | --- | --- | --- |
| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |
| SPoC | 256 | 53.1 | 50.1 | - | - | - |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |
| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |
| Ngetal | 128 | 59.3 | - | - | 59.0 | - |
| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |
| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |
| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 | | 0 |
| Method | Size | Oxf5k | Oxf105k | Paris6k |
| --- | --- | --- | --- | --- |
| TEmb | 1024 | 56.0 | 50.2 | - |
| NetVLAD | 4096 | 71.6 | - | 79.7 |
| MAC | 512 | 58.3 | 49.2 | 72.6 |
| R-MAC | 512 | 66.9 | 61.6 | 83.0 | | | CroW | 512 | 68.2 | 63.2 | 79.7 |
| --- | --- | --- | --- | --- |
| MAC* | 512 | 80.0 | 75.1 | 82.9 |
| SUMPool | 512 | 79.5 | 75.0 | 81.3 |
| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 | | 1 |
| Method | Size | Oxf5k | Oxf105k | Paris6k |
| --- | --- | --- | --- | --- |
| TEmb | 1024 | 56.0 | 50.2 | - |
| NetVLAD | 4096 | 71.6 | - | 79.7 |
| MAC | 512 | 58.3 | 49.2 | 72.6 |
| R-MAC | 512 | 66.9 | 61.6 | 83.0 | | | SPoC | 256 | 53.1 | 50.1 | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |
| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |
| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |
| Ngetal | 128 | 59.3 | - | - | 59.0 | - |
| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |
| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |
| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 | | 0 |
| Trackers | FastMotion | BackgroundClutter | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NoiseVariance | | | | | | | | | | | | |
| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | |
| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |
| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |
| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 | | | MCPF | 80.5 | 80.1 | 71.1 | 64.9 | 63.7 | 60.3 | 82.0 | 77.8 | 65.8 | 55.0 | 52.8 | 46.1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SRDCF | 79.7 | 76.5 | 73.5 | 72.8 | 69.4 | 64.2 | 86.6 | 76.6 | 76.8 | 64.1 | 65.3 | 58.4 |
| DCFNet | 79.5 | 73.3 | 66.5 | 66.7 | 65.3 | 67.0 | 78.7 | 77.4 | 64.5 | 63.1 | 57.3 | 57.4 |
| SRDCFdecon | 77.8 | 77.4 | 72.5 | 68.6 | 56.0 | 53.8 | 80.1 | 71.7 | 68.4 | 59.7 | 50.0 | 52.2 |
| CF2 | 77.3 | 72.7 | 64.5 | 59.3 | 59.7 | 51.6 | 75.3 | 63.7 | 54.0 | 48.4 | 47.9 | 39.9 |
| SiameseFC | 73.9 | 71.3 | 68.0 | 67.1 | 62.1 | 60.5 | 69.8 | 68.1 | 61.1 | 57.5 | 47.2 | 53.0 |
| HDT | 73.5 | 71.0 | 62.1 | 61.6 | 62.5 | 58.8 | 70.1 | 61.7 | 52.3 | 47.7 | 49.6 | 47.0 |
| fDSST | 73.1 | 69.2 | 55.8 | 49.4 | 48.4 | 45.5 | 78.0 | 65.0 | 51.6 | 52.9 | 50.9 | 50.6 |
| STAPLE | 70.8 | 65.5 | 57.4 | 55.0 | 48.5 | 44.5 | 74.9 | 74.2 | 66.6 | 65.4 | 61.1 | 60.9 |
| LCT | 68.0 | 56.4 | 56.0 | 54.1 | 47.8 | 45.4 | 73.4 | 63.5 | 60.3 | 50.4 | 50.1 | 43.2 |
| ECT | 67.6 | 48.3 | 1.82 | 10.0 | 9.00 | 4.50 | 74.4 | 41.7 | 5.60 | 1.70 | 1.10 | 0.90 |
| BIT | 67.2 | 57.6 | 48.7 | 49.2 | 42.9 | 43.4 | 74.5 | 60.0 | 60.9 | 56.2 | 52.6 | 53.3 |
| KCF | 63.2 | 49.2 | 41.0 | 35.0 | 34.8 | 2.91 | 71.3 | 49.5 | 44.3 | 44.3 | 39.8 | 35.5 |
| CFNet | 63.0 | 56.7 | 51.7 | 41.5 | 42.7 | 35.5 | 71.2 | 68.1 | 59.7 | 51.3 | 47.9 | 42.3 |
| Obli-RaF | 61.0 | 66.1 | 56.7 | 60.5 | 60.6 | 56.4 | 74.3 | 65.5 | 53.6 | 50.5 | 51.4 | 52.9 |
| CNT | 34.3 | 34.8 | 34.2 | 34.2 | 30.3 | 2.71 | 51.5 | 51.3 | 45.2 | 46.5 | 47.8 | 44.3 | | 1 |
| Trackers | FastMotion | BackgroundClutter | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NoiseVariance | | | | | | | | | | | | |
| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | |
| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |
| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |
| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 | | | | Noiseless | Noisy | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |
| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |
| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |
| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |
| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |
| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 | | 0 |
| Trackers | FastMotion | BackgroundClutter | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NoiseVariance | | | | | | | | | | | | |
| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | |
| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |
| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |
| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 | | | MCPF | 80.5 | 80.1 | 71.1 | 64.9 | 63.7 | 60.3 | 82.0 | 77.8 | 65.8 | 55.0 | 52.8 | 46.1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SRDCF | 79.7 | 76.5 | 73.5 | 72.8 | 69.4 | 64.2 | 86.6 | 76.6 | 76.8 | 64.1 | 65.3 | 58.4 |
| DCFNet | 79.5 | 73.3 | 66.5 | 66.7 | 65.3 | 67.0 | 78.7 | 77.4 | 64.5 | 63.1 | 57.3 | 57.4 |
| SRDCFdecon | 77.8 | 77.4 | 72.5 | 68.6 | 56.0 | 53.8 | 80.1 | 71.7 | 68.4 | 59.7 | 50.0 | 52.2 |
| CF2 | 77.3 | 72.7 | 64.5 | 59.3 | 59.7 | 51.6 | 75.3 | 63.7 | 54.0 | 48.4 | 47.9 | 39.9 |
| SiameseFC | 73.9 | 71.3 | 68.0 | 67.1 | 62.1 | 60.5 | 69.8 | 68.1 | 61.1 | 57.5 | 47.2 | 53.0 |
| HDT | 73.5 | 71.0 | 62.1 | 61.6 | 62.5 | 58.8 | 70.1 | 61.7 | 52.3 | 47.7 | 49.6 | 47.0 |
| fDSST | 73.1 | 69.2 | 55.8 | 49.4 | 48.4 | 45.5 | 78.0 | 65.0 | 51.6 | 52.9 | 50.9 | 50.6 |
| STAPLE | 70.8 | 65.5 | 57.4 | 55.0 | 48.5 | 44.5 | 74.9 | 74.2 | 66.6 | 65.4 | 61.1 | 60.9 |
| LCT | 68.0 | 56.4 | 56.0 | 54.1 | 47.8 | 45.4 | 73.4 | 63.5 | 60.3 | 50.4 | 50.1 | 43.2 |
| ECT | 67.6 | 48.3 | 1.82 | 10.0 | 9.00 | 4.50 | 74.4 | 41.7 | 5.60 | 1.70 | 1.10 | 0.90 |
| BIT | 67.2 | 57.6 | 48.7 | 49.2 | 42.9 | 43.4 | 74.5 | 60.0 | 60.9 | 56.2 | 52.6 | 53.3 |
| KCF | 63.2 | 49.2 | 41.0 | 35.0 | 34.8 | 2.91 | 71.3 | 49.5 | 44.3 | 44.3 | 39.8 | 35.5 |
| CFNet | 63.0 | 56.7 | 51.7 | 41.5 | 42.7 | 35.5 | 71.2 | 68.1 | 59.7 | 51.3 | 47.9 | 42.3 |
| Obli-RaF | 61.0 | 66.1 | 56.7 | 60.5 | 60.6 | 56.4 | 74.3 | 65.5 | 53.6 | 50.5 | 51.4 | 52.9 |
| CNT | 34.3 | 34.8 | 34.2 | 34.2 | 30.3 | 2.71 | 51.5 | 51.3 | 45.2 | 46.5 | 47.8 | 44.3 | | 1 |
| Trackers | FastMotion | BackgroundClutter | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NoiseVariance | | | | | | | | | | | | |
| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | |
| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |
| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |
| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 | | | ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 | | 0 |
| Engine | Approx.Rating | AverageNodesSearched | STSScore |
| --- | --- | --- | --- |
| Giraffe(1s) | 2400 | 258570 | 9641 | | | Giraffe(0.5s) | 2400 | 119843 | 9211 |
| --- | --- | --- | --- |
| Giraffe(0.1s) | 2400 | 24134 | 8526 |
| Stockfish5 | 3387 | 108540 | 10505 |
| Senpai1.0 | 3096 | 86711 | 9414 |
| Texel1.04 | 2995 | 119455 | 8494 |
| Arasan17.5 | 2847 | 79442 | 7961 |
| Scorpio2.7.6 | 2821 | 139143 | 8795 |
| Crafty24.0 | 2801 | 296918 | 8541 |
| GNUChess6/Fruit2.1 | 2685 | 58552 | 8307 |
| Sungorus1.4 | 2309 | 145069 | 7729 | | 1 |
| Engine | Approx.Rating | AverageNodesSearched | STSScore |
| --- | --- | --- | --- |
| Giraffe(1s) | 2400 | 258570 | 9641 | | | R&GNo | R&Gpair | R&GSimilarity | Lee2014 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.005 | 0.01 |
| 2 | noonstring | 0.01 | 0.005 |
| 3 | roostervoyage | 0.01 | 0.0125 |
| 4 | fruitfurnace | 0.0125 | 0.0475 |
| 5 | autographshore | 0.015 | 0.005 |
| 6 | automobilewizard | 0.0275 | 0.02 |
| 7 | moundstove | 0.035 | 0.005 |
| 8 | grinimplement | 0.045 | 0.005 |
| 9 | asylumfruit | 0.0475 | 0.005 |
| 10 | asylummonk | 0.0975 | 0.0375 |
| 11 | graveyardmadhouse | 0.105 | 0.0225 |
| 12 | boyrooster | 0.11 | 0.0075 |
| 13 | glassmagician | 0.11 | 0.1075 |
| 14 | cushionjewel | 0.1125 | 0.0525 |
| 15 | monkslave | 0.1425 | 0.045 |
| 16 | asylumcemetery | 0.1975 | 0.0375 |
| 17 | coastforest | 0.2125 | 0.0475 |
| 18 | grinlad | 0.22 | 0.0125 |
| 19 | shorewoodland | 0.225 | 0.0825 |
| 20 | monkoracle | 0.2275 | 0.1125 |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 |
| 24 | ladwizard | 0.2475 | 0.0325 |
| 25 | forestgraveyard | 0.25 | 0.065 |
| 26 | foodrooster | 0.2725 | 0.055 |
| 27 | cemeterywoodland | 0.295 | 0.0375 |
| 28 | shorevoyage | 0.305 | 0.02 |
| 29 | birdwoodland | 0.31 | 0.0125 |
| 30 | coasthill | 0.315 | 0.1 |
| 31 | furnaceimplement | 0.3425 | 0.05 |
| 32 | cranerooster | 0.3525 | 0.02 |
| 33 | hillwoodland | 0.37 | 0.145 |
| 34 | carjourney | 0.3875 | 0.0725 |
| 35 | cemeterymound | 0.4225 | 0.0575 |
| 36 | glassjewel | 0.445 | 0.1075 |
| 37 | magicianoracle | 0.455 | 0.13 |
| 38 | craneimplement | 0.5925 | 0.185 |
| 39 | brotherlad | 0.6025 | 0.1275 |
| 40 | sagewizard | 0.615 | 0.1525 |
| 41 | oraclesage | 0.6525 | 0.2825 |
| 42 | birdcock | 0.6575 | 0.035 |
| 43 | birdcrane | 0.67 | 0.1625 |
| 44 | foodfruit | 0.6725 | 0.2425 |
| 45 | brothermonk | 0.685 | 0.045 |
| 46 | asylummadhouse | 0.76 | 0.215 |
| 47 | furnacestove | 0.7775 | 0.3475 |
| 48 | magicianwizard | 0.8025 | 0.355 |
| 49 | hillmound | 0.8225 | 0.2925 |
| 50 | cordstring | 0.8525 | 0.47 |
| 51 | glasstumbler | 0.8625 | 0.1375 |
| 52 | grinsmile | 0.865 | 0.485 |
| 53 | serfslave | 0.865 | 0.4825 |
| 54 | journeyvoyage | 0.895 | 0.36 |
| 55 | autographsignature | 0.8975 | 0.405 |
| 56 | coastshore | 0.9 | 0.5875 | | 0 |
| Engine | Approx.Rating | AverageNodesSearched | STSScore |
| --- | --- | --- | --- |
| Giraffe(1s) | 2400 | 258570 | 9641 |
| Giraffe(0.5s) | 2400 | 119843 | 9211 |
| Giraffe(0.1s) | 2400 | 24134 | 8526 |
| Stockfish5 | 3387 | 108540 | 10505 |
| Senpai1.0 | 3096 | 86711 | 9414 | | | Texel1.04 | 2995 | 119455 | 8494 |
| --- | --- | --- | --- |
| Arasan17.5 | 2847 | 79442 | 7961 |
| Scorpio2.7.6 | 2821 | 139143 | 8795 |
| Crafty24.0 | 2801 | 296918 | 8541 |
| GNUChess6/Fruit2.1 | 2685 | 58552 | 8307 |
| Sungorus1.4 | 2309 | 145069 | 7729 | | 1 |
| Engine | Approx.Rating | AverageNodesSearched | STSScore |
| --- | --- | --- | --- |
| Giraffe(1s) | 2400 | 258570 | 9641 |
| Giraffe(0.5s) | 2400 | 119843 | 9211 |
| Giraffe(0.1s) | 2400 | 24134 | 8526 |
| Stockfish5 | 3387 | 108540 | 10505 |
| Senpai1.0 | 3096 | 86711 | 9414 | | | 20 | monkoracle | 0.2275 | 0.1125 |
| --- | --- | --- | --- |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 |
| 24 | ladwizard | 0.2475 | 0.0325 |
| 25 | forestgraveyard | 0.25 | 0.065 |
| 26 | foodrooster | 0.2725 | 0.055 |
| 27 | cemeterywoodland | 0.295 | 0.0375 |
| 28 | shorevoyage | 0.305 | 0.02 |
| 29 | birdwoodland | 0.31 | 0.0125 |
| 30 | coasthill | 0.315 | 0.1 |
| 31 | furnaceimplement | 0.3425 | 0.05 |
| 32 | cranerooster | 0.3525 | 0.02 |
| 33 | hillwoodland | 0.37 | 0.145 |
| 34 | carjourney | 0.3875 | 0.0725 |
| 35 | cemeterymound | 0.4225 | 0.0575 |
| 36 | glassjewel | 0.445 | 0.1075 |
| 37 | magicianoracle | 0.455 | 0.13 |
| 38 | craneimplement | 0.5925 | 0.185 |
| 39 | brotherlad | 0.6025 | 0.1275 |
| 40 | sagewizard | 0.615 | 0.1525 |
| 41 | oraclesage | 0.6525 | 0.2825 |
| 42 | birdcock | 0.6575 | 0.035 |
| 43 | birdcrane | 0.67 | 0.1625 |
| 44 | foodfruit | 0.6725 | 0.2425 |
| 45 | brothermonk | 0.685 | 0.045 |
| 46 | asylummadhouse | 0.76 | 0.215 |
| 47 | furnacestove | 0.7775 | 0.3475 |
| 48 | magicianwizard | 0.8025 | 0.355 |
| 49 | hillmound | 0.8225 | 0.2925 |
| 50 | cordstring | 0.8525 | 0.47 |
| 51 | glasstumbler | 0.8625 | 0.1375 |
| 52 | grinsmile | 0.865 | 0.485 |
| 53 | serfslave | 0.865 | 0.4825 |
| 54 | journeyvoyage | 0.895 | 0.36 |
| 55 | autographsignature | 0.8975 | 0.405 |
| 56 | coastshore | 0.9 | 0.5875 | | 0 |
| 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 | | 1 |
| 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 | | | 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– | | 0 |
| 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 | | 1 |
| 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 | | | 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– | | 0 |
| NumberOfKeysOnTheSortedArray | 327kilo |
| --- | --- |
| SearchKeySize | 4bytes | | | IndexTreeSize | 3.2MB |
| --- | --- |
| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |
| RootSubtreeSize(inB,C) | 44bytes |
| T(inA,B) | 7 |
| L(inC-1,C-2) | 6 |
| SizeofNode(inA,B,andC-1) | 32bytes |
| SizeofRootNode(inC-2) | 32bytes |
| SizeofLeafNode(inC-2) | 8KB | | 1 |
| NumberOfKeysOnTheSortedArray | 327kilo |
| --- | --- |
| SearchKeySize | 4bytes | | | dataset | algorithms | indexsize | | |
| --- | --- | --- | --- | --- |
| tree(hashtable) | graph | all | | |
| SIFT1M | flann(16-tree) | 997.5MB | 0 | 997.5MB |
| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB | |
| GNNS(10-NN) | 0 | 60.5MB | 60.5MB | |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| GIST1 | flann(16-tree) | 998.4MB | 0 | 998.4MB |
| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB | |
| GNNS(10-NN) | 0 | 60.5MB | 60.5MB | |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB | |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB | |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | | 0 |
| NumberOfKeysOnTheSortedArray | 327kilo |
| --- | --- |
| SearchKeySize | 4bytes | | | IndexTreeSize | 3.2MB |
| --- | --- |
| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |
| RootSubtreeSize(inB,C) | 44bytes |
| T(inA,B) | 7 |
| L(inC-1,C-2) | 6 |
| SizeofNode(inA,B,andC-1) | 32bytes |
| SizeofRootNode(inC-2) | 32bytes |
| SizeofLeafNode(inC-2) | 8KB | | 1 |
| NumberOfKeysOnTheSortedArray | 327kilo |
| --- | --- |
| SearchKeySize | 4bytes | | | GNNS(10-NN) | 0 | 60.5MB | 60.5MB |
| --- | --- | --- | --- |
| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |
| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |
| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | 0 |
| ProfileKey | Positive | Negative |
| --- | --- | --- |
| Name | 6,966 | 3,442 |
| Gender | 7,665 | 8,259 |
| Age | 6,038 | 3,309 | | | City | 6,264 | 8,350 |
| --- | --- | --- |
| Weight | 6,856 | 3,800 |
| Constellation | 8,404 | 7,577 | | 1 |
| ProfileKey | Positive | Negative |
| --- | --- | --- |
| Name | 6,966 | 3,442 |
| Gender | 7,665 | 8,259 |
| Age | 6,038 | 3,309 | | | 318739 | 472 | 138 | 7 | 16 |
| --- | --- | --- | --- | --- |
| 229 | 32090 | 217 | 0 | 9 |
| 33 | 115 | 885 | 0 | 16 |
| 0 | 0 | 0 | 5 | 0 |
| 5 | 23 | 26 | 0 | 3128 |
| 11 | 32 | 0 | 0 | 0 | | 0 |
| ProfileKey | Positive | Negative |
| --- | --- | --- |
| Name | 6,966 | 3,442 | | | Gender | 7,665 | 8,259 |
| --- | --- | --- |
| Age | 6,038 | 3,309 |
| City | 6,264 | 8,350 |
| Weight | 6,856 | 3,800 |
| Constellation | 8,404 | 7,577 | | 1 |
| ProfileKey | Positive | Negative |
| --- | --- | --- |
| Name | 6,966 | 3,442 | | | 33 | 115 | 885 | 0 | 16 |
| --- | --- | --- | --- | --- |
| 0 | 0 | 0 | 5 | 0 |
| 5 | 23 | 26 | 0 | 3128 |
| 11 | 32 | 0 | 0 | 0 | | 0 |
| Parameter | Meaning | Value |
| --- | --- | --- |
| Pt | Transmissionpower | 10W |
| K | Antennadependentconstant | −64.5dB |
| N0 | PSDofthermalnoise | −174dBm |
| d0 | Referencedistancefortheantennafar-field | 20m | | | γ | Pathlossexponent | 4 |
| --- | --- | --- |
| σ | Standarddeviationforϕi,dB | 4 |
| r | Cellradius | 800m | | 1 |
| Parameter | Meaning | Value |
| --- | --- | --- |
| Pt | Transmissionpower | 10W |
| K | Antennadependentconstant | −64.5dB |
| N0 | PSDofthermalnoise | −174dBm |
| d0 | Referencedistancefortheantennafar-field | 20m | | | Parameters | Values |
| --- | --- |
| NumberofBSs | 40 |
| NumberofWAPs | 30 |
| Meantimeofasuccessfultransmission | 5µs |
| Meantimeofacollision | 1µs |
| Meantimeofidlechannel | 3µs |
| Numberofchannels | 10 |
| RTS | 20bytes |
| CTS | 14bytes |
| DIFS | 34µs |
| SIFS | 16µs |
| NumberofWUs | 150 |
| TransmitpoweroftheWAPs | 0.5W |
| TransmitpoweroftheBSs | 1W | | 0 |
| Parameter | Meaning | Value |
| --- | --- | --- |
| Pt | Transmissionpower | 10W |
| K | Antennadependentconstant | −64.5dB |
| N0 | PSDofthermalnoise | −174dBm |
| d0 | Referencedistancefortheantennafar-field | 20m | | | γ | Pathlossexponent | 4 |
| --- | --- | --- |
| σ | Standarddeviationforϕi,dB | 4 |
| r | Cellradius | 800m | | 1 |
| Parameter | Meaning | Value |
| --- | --- | --- |
| Pt | Transmissionpower | 10W |
| K | Antennadependentconstant | −64.5dB |
| N0 | PSDofthermalnoise | −174dBm |
| d0 | Referencedistancefortheantennafar-field | 20m | | | NumberofWUs | 150 |
| --- | --- |
| TransmitpoweroftheWAPs | 0.5W |
| TransmitpoweroftheBSs | 1W | | 0 |
| Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |
| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |
| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |
| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 | | | christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |
| --- | --- | --- | --- | --- |
| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |
| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |
| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |
| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |
| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |
| radcliffecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |
| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 | | 1 |
| Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |
| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |
| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |
| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 | | | Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |
| eiffel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |
| invalides | 0.9852 | 0.9378 | 0.9884 | 0.9473 |
| louvre | 0.8224 | 0.7279 | 0.8674 | 0.7566 |
| moulinrouge | 0.7690 | 0.6163 | 0.9882 | 0.9627 |
| museedorsay | 0.6485 | 0.5262 | 0.8407 | 0.6952 |
| notredame | 0.9910 | 0.8956 | 0.9860 | 0.8883 |
| pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |
| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |
| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |
| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |
| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 | | 0 |
| Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |
| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |
| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |
| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |
| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |
| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |
| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |
| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |
| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 | | | pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |
| --- | --- | --- | --- | --- |
| radcliffecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |
| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 | | 1 |
| Query | Baseline | Re-ranking | | |
| --- | --- | --- | --- | --- |
| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 | |
| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |
| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |
| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |
| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |
| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |
| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |
| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |
| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |
| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 | | | pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |
| --- | --- | --- | --- | --- |
| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |
| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |
| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |
| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 | | 0 |
| Method | Inceptionscore |
| --- | --- |
| 3DShapeNets | 4.126±0.193 |
| 3D-GAN | 8.658±0.450 | | | 3DVAE | 11.015±0.420 |
| --- | --- |
| 3DDescriptorNet(ours) | 11.772±0.418 | | 1 |
| Method | Inceptionscore |
| --- | --- |
| 3DShapeNets | 4.126±0.193 |
| 3D-GAN | 8.658±0.450 | | | Model | InceptionScore |
| --- | --- |
| (a)Upperbound | 4.44±1.91 |
| (b)ImprovedWGAN | 1.42±0.13 |
| (c)ConditionalGAN | 2.21±0.38 |
| (d)+SpectralNorm | 2.45±0.48 |
| (e)+HingeLoss | 2.49±0.51 |
| (f)+ProjectionDiscriminator | 2.61±0.41 |
| (g)+AuxiliaryClassifier | 2.83±0.53 | | 0 |
| Method | Inceptionscore |
| --- | --- |
| 3DShapeNets | 4.126±0.193 |
| 3D-GAN | 8.658±0.450 | | | 3DVAE | 11.015±0.420 |
| --- | --- |
| 3DDescriptorNet(ours) | 11.772±0.418 | | 1 |
| Method | Inceptionscore |
| --- | --- |
| 3DShapeNets | 4.126±0.193 |
| 3D-GAN | 8.658±0.450 | | | (e)+HingeLoss | 2.49±0.51 |
| --- | --- |
| (f)+ProjectionDiscriminator | 2.61±0.41 |
| (g)+AuxiliaryClassifier | 2.83±0.53 | | 0 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.08 | .20 | .78 | | | DecayFunctionatAll | 4.99 | .30 | .03 |
| --- | --- | --- | --- |
| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |
| DocumentContentatExponentialdecay | 0.00 | .00 | .97 | | 1 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.08 | .20 | .78 | | | Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.06 | . | .81 |
| DecayFunctionatAll | 2.28 | . | .13 |
| DocumentContentatSlidingwindow | 9.96 | . | .00 |
| DocumentContentatExponentialdecay | 1.19 | . | .28 | | 0 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.08 | .20 | .78 | | | DecayFunctionatAll | 4.99 | .30 | .03 |
| --- | --- | --- | --- |
| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |
| DocumentContentatExponentialdecay | 0.00 | .00 | .97 | | 1 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.08 | .20 | .78 | | | DocumentContentatSlidingwindow | 9.96 | . | .00 |
| --- | --- | --- | --- |
| DocumentContentatExponentialdecay | 1.19 | . | .28 | | 0 |
| Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 | | | 0.05 | 2.0938 | 1.2753 |
| --- | --- | --- |
| 0.07 | 2.3385 | 1.3668 | | 1 |
| Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 | | | 0.4068 | 0.2910 | 0.3571 |
| --- | --- | --- |
| 0.3446 | 0.3532 | 0.3476 |
| 0.4592 | 0.2090 | 0.3236 |
| 0.5393 | 0.2397 | 0.3751 |
| 0.1369 | 0.0986 | 0.1205 |
| 0.5626 | 0.2808 | 0.4164 | | 0 |
| Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 | | | 0.05 | 2.0938 | 1.2753 |
| --- | --- | --- |
| 0.07 | 2.3385 | 1.3668 | | 1 |
| Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 | | | 0.4592 | 0.2090 | 0.3236 |
| --- | --- | --- |
| 0.5393 | 0.2397 | 0.3751 |
| 0.1369 | 0.0986 | 0.1205 |
| 0.5626 | 0.2808 | 0.4164 | | 0 |
| Algorithms | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| 12-hourobservationbaseline-1 | 251 | 93 |
| 12-hourobservationbaseline-2 | 251 | 482 |
| MLR | 251 | 51 |
| with12-hourobservationSP | 251 | 355 |
| Algorithms | Realpurchases | Predictedpurchases |
| 12-hourobservationbaseline-1 | 384 | 169 |
| 12-hourobservationbaseline-2 | 384 | 714 | | | MLR | 384 | 1,452 |
| --- | --- | --- |
| with12-hourobservationSP | 384 | 463 | | 1 |
| Algorithms | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| 12-hourobservationbaseline-1 | 251 | 93 |
| 12-hourobservationbaseline-2 | 251 | 482 |
| MLR | 251 | 51 |
| with12-hourobservationSP | 251 | 355 |
| Algorithms | Realpurchases | Predictedpurchases |
| 12-hourobservationbaseline-1 | 384 | 169 |
| 12-hourobservationbaseline-2 | 384 | 714 | | | Model | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| with12-hourobservationbaseline1 | 129 | 32 |
| with12-hourobservationbaseline2 | 129 | 245 |
| with12-hourobservationSP | 129 | 110 |
| Model | Realpurchases | Predictedpurchases |
| with12-hourobservationbaseline1 | 75 | 28 |
| with12-hourobservationbaseline2 | 75 | 147 |
| with12-hourobservationSP | 75 | 110 | | 0 |
| Algorithms | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| 12-hourobservationbaseline-1 | 251 | 93 |
| 12-hourobservationbaseline-2 | 251 | 482 |
| MLR | 251 | 51 |
| with12-hourobservationSP | 251 | 355 |
| Algorithms | Realpurchases | Predictedpurchases |
| 12-hourobservationbaseline-1 | 384 | 169 | | | 12-hourobservationbaseline-2 | 384 | 714 |
| --- | --- | --- |
| MLR | 384 | 1,452 |
| with12-hourobservationSP | 384 | 463 | | 1 |
| Algorithms | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| 12-hourobservationbaseline-1 | 251 | 93 |
| 12-hourobservationbaseline-2 | 251 | 482 |
| MLR | 251 | 51 |
| with12-hourobservationSP | 251 | 355 |
| Algorithms | Realpurchases | Predictedpurchases |
| 12-hourobservationbaseline-1 | 384 | 169 | | | Model | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| with12-hourobservationbaseline1 | 75 | 28 |
| with12-hourobservationbaseline2 | 75 | 147 |
| with12-hourobservationSP | 75 | 110 | | 0 |
| Dataset | W2V | GLOVE | p−val. |
| --- | --- | --- | --- |
| WS353 | 0.7362 | 0.629 | 2e |
| WS353-SIM | 0.7805 | 0.6979 | 0.0 | | | WS353-REL | 0.6814 | 0.5706 | 0.2123 |
| --- | --- | --- | --- |
| MC-30 | 0.8221 | 0.7773 | 0.0001 |
| RG-65 | 0.8348 | 0.8117 | 0.3053 |
| RW | 0.4819 | 0.4144 | 0.2426 |
| MEN | 0.796 | 0.7362 | 0.0021 |
| MTurk-287 | 0.671 | 0.6475 | 0.2076 |
| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |
| YP-130 | 0.504 | 0.5315 | 0.0 |
| SimLex999 | 0.4621 | 0.3725 | 0.0015 |
| Verb−143 | 0.4479 | 0.3275 | 0.0431 | | 1 |
| Dataset | W2V | GLOVE | p−val. |
| --- | --- | --- | --- |
| WS353 | 0.7362 | 0.629 | 2e |
| WS353-SIM | 0.7805 | 0.6979 | 0.0 | | | SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |
| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |
| 3 | MTurk-287 | 287 | 63.32 | 56.56 | 63.38 | 64.62 |
| 4 | VERB-143 | 144 | 30.51 | 28.52 | 39.04 | 40.14 |
| 5 | WS-353-ALL | 353 | 60.54 | 46.52 | 66.23 | 66.85 |
| 6 | RW-Stanford | 2034 | 41.18 | 27.46 | 43.17 | 40.79 |
| 7 | MEN-TR-3K | 3000 | 73.75 | 63.35 | 75.34 | 75.37 |
| 8 | RG-65 | 65 | 76.62 | 71.71 | 73.62 | 74.27 |
| 9 | MC-30 | 30 | 70.26 | 70.03 | 69.21 | 72.35 |
| 10 | SIMLEX-999 | 999 | 37.05 | 27.21 | 36.71 | 33.81 |
| 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |
| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 | | 0 |
| Dataset | W2V | GLOVE | p−val. |
| --- | --- | --- | --- |
| WS353 | 0.7362 | 0.629 | 2e |
| WS353-SIM | 0.7805 | 0.6979 | 0.0 |
| WS353-REL | 0.6814 | 0.5706 | 0.2123 |
| MC-30 | 0.8221 | 0.7773 | 0.0001 |
| RG-65 | 0.8348 | 0.8117 | 0.3053 |
| RW | 0.4819 | 0.4144 | 0.2426 |
| MEN | 0.796 | 0.7362 | 0.0021 |
| MTurk-287 | 0.671 | 0.6475 | 0.2076 |
| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |
| YP-130 | 0.504 | 0.5315 | 0.0 | | | SimLex999 | 0.4621 | 0.3725 | 0.0015 |
| --- | --- | --- | --- |
| Verb−143 | 0.4479 | 0.3275 | 0.0431 | | 1 |
| Dataset | W2V | GLOVE | p−val. |
| --- | --- | --- | --- |
| WS353 | 0.7362 | 0.629 | 2e |
| WS353-SIM | 0.7805 | 0.6979 | 0.0 |
| WS353-REL | 0.6814 | 0.5706 | 0.2123 |
| MC-30 | 0.8221 | 0.7773 | 0.0001 |
| RG-65 | 0.8348 | 0.8117 | 0.3053 |
| RW | 0.4819 | 0.4144 | 0.2426 |
| MEN | 0.796 | 0.7362 | 0.0021 |
| MTurk-287 | 0.671 | 0.6475 | 0.2076 |
| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |
| YP-130 | 0.504 | 0.5315 | 0.0 | | | 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |
| --- | --- | --- | --- | --- | --- | --- |
| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 | | 0 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |
| Average | 3 | 32.41 | 33.86 | 33.92 | | | SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 4<br>4<br>4<br>4<br>4<br>4<br>4<br>4 | 38.99<br>34.13<br>35.49<br>24.14<br>30.06<br>29.49<br>24.85<br>25.21 | 40.57<br>35.72<br>36.94<br>24.87<br>31.51<br>30.43<br>25.44<br>26.24 | 41.00<br>35.91<br>36.94<br>25.13<br>31.83<br>30.54<br>25.64<br>26.40 |
| --- | --- | --- | --- | --- |
| Average | 4 | 30.30 | 31.47 | 31.67 | | 1 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |
| Average | 3 | 32.41 | 33.86 | 33.92 | | | Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |
| Average | 3 | 38.56 | 40.21 | 40.35 |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |
| Average | 4 | 36.20 | 37.52 | 37.91 | | 0 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |
| Average | 3 | 32.41 | 33.86 | 33.92 | | | SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 4<br>4<br>4<br>4<br>4<br>4<br>4<br>4 | 38.99<br>34.13<br>35.49<br>24.14<br>30.06<br>29.49<br>24.85<br>25.21 | 40.57<br>35.72<br>36.94<br>24.87<br>31.51<br>30.43<br>25.44<br>26.24 | 41.00<br>35.91<br>36.94<br>25.13<br>31.83<br>30.54<br>25.64<br>26.40 |
| --- | --- | --- | --- | --- |
| Average | 4 | 30.30 | 31.47 | 31.67 | | 1 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOff<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |
| Average | 3 | 32.41 | 33.86 | 33.92 | | | Average | 3 | 38.56 | 40.21 | 40.35 |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |
| Average | 4 | 36.20 | 37.52 | 37.91 | | 0 |
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