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3,100R@1FV (GMM+HGLMM)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| FV (GMM+HGLMM)2015.04 | 3,100 | 5,930 | 7,370 | 4 | |
| FV (HGLMM)2015.04 | 2,850 | 5,840 | 7,170 | 4 | |
| FV (GMM)2015.04 | 2,840 | 5,770 | 7,010 | 4 | |
| FV (LMM)2015.04 | 2,770 | 5,660 | 6,900 | 4 | |
| m-CNNENSBackbone=VGG2015.04 | 2,480 | 5,370 | 6,710 | 5 | |
| FV (Mean Vec)2015.04 | 2,260 | 4,880 | 6,120 | 6 | |
| FV (GMM+HGLMM)2015.04 | 2,130 | 5,000 | 6,480 | 5 | |
| FV (GMM)2015.04 | 2,060 | 4,850 | 6,410 | 6 | |
| FV (HGLMM)2015.04 | 2,060 | 4,940 | 6,400 | 6 | |
| m-CNNENSBackbone=VGG2015.04 | 2,030 | 4,760 | 6,170 | 5 | |
| NIC2015.04 | 2,000 | — | 6,100 | 6 | |
| FV (LMM)2015.04 | 1,980 | 4,760 | 6,270 | 6 | |
| FV (Mean Vec)2015.04 | 1,910 | 4,530 | 6,040 | 7 | |
| NIC2015.04 | 1,900 | — | 6,400 | 5 | |
| m-CNNstBackbone=VGG2015.04 | 1,810 | 4,410 | 5,790 | 7 | |
| MNLM-vgg2015.04 | 1,800 | 4,090 | 5,500 | 8 | |
| m-CNNphsBackbone=VGG2015.04 | 1,800 | 4,350 | 5,720 | 8 | |
| DCCA2015.04 | 1,790 | 4,030 | 5,190 | 9 | |
| m-CNNphlBackbone=VGG2015.04 | 1,670 | 4,300 | 5,670 | 7 | |
| DVSA (BRNN)2015.04 | 1,650 | 4,060 | 5,420 | 7.6 | |
| m-CNNwdBackbone=VGG2015.04 | 1,560 | 4,010 | 5,570 | 8 | |
| m-CNNENSBackbone=OverFeat2015.04 | 1,490 | 3,590 | 4,900 | 11 | |
| DVSA (DepTree)2015.04 | 1,480 | 3,790 | 5,000 | 9.4 | |
| m-CNNphsBackbone=VGG2015.04 | 1,460 | 3,950 | 5,380 | 9 | |
| m-CNNstBackbone=VGG2015.04 | 1,460 | 3,850 | 5,350 | 9 | |
| m-RNN2015.04 | 1,450 | 3,720 | 4,850 | 11 | |
| m-CNNwdBackbone=VGG2015.04 | 1,450 | 3,820 | 5,260 | 9 | |
| m-CNNphlBackbone=VGG2015.04 | 1,440 | 3,860 | 5,220 | 9 | |
| MNLM2015.04 | 1,350 | 3,620 | 4,570 | 13 | |
| DCCA2015.04 | 1,270 | 3,120 | 4,410 | 13 | |
| Deep Fragment2015.04 | 1,260 | 3,290 | 4,400 | 14 | |
| MNLM-vgg2015.04 | 1,250 | 3,700 | 5,150 | 10 | |
| DVSA (BRNN)2015.04 | 1,180 | 3,210 | 4,470 | 12.4 | |
| m-CNNENSBackbone=OverFeat2015.04 | 1,180 | 3,450 | 4,800 | 11 | |
| RVP (T+I)2015.04 | 1,170 | 3,480 | 4,860 | 11.2 | |
| RVP (T)2015.04 | 1,160 | 3,380 | 4,730 | 11.5 | |
| DVSA (DepTree)2015.04 | 1,160 | 3,140 | 4,380 | 13.2 | |
| m-RNN2015.04 | 1,150 | 3,100 | 4,240 | 15 | |
| RVP (T)2015.04 | 1,140 | 3,180 | 4,580 | 12.5 | |
| RVP (T+I)2015.04 | 1,140 | 3,200 | 4,620 | 11 | |
| m-CNNphlBackbone=OverFeat2015.04 | 1,070 | 2,650 | 3,870 | 18 | |
| m-CNNstBackbone=OverFeat2015.04 | 1,060 | 3,250 | 4,360 | 14 | |
| m-CNNphsBackbone=OverFeat2015.04 | 1,050 | 2,940 | 4,170 | 15 | |
| MNLM2015.04 | 1,040 | 3,100 | 4,370 | 14 | |
| Deep Fragment2015.04 | 970 | 2,960 | 4,250 | 15 | |
| m-CNNphsBackbone=OverFeat2015.04 | 930 | 2,790 | 3,960 | 17 | |
| m-CNNwdBackbone=OverFeat2015.04 | 860 | 2,680 | 3,880 | 18.5 | |
| m-CNNstBackbone=OverFeat2015.04 | 850 | 2,700 | 3,910 | 18 | |
| m-CNNwdBackbone=OverFeat2015.04 | 810 | 2,470 | 3,610 | 20 | |
| m-CNNphlBackbone=OverFeat2015.04 | 810 | 2,660 | 3,780 | 18 | |
| SDT-RNN2015.04 | 660 | 2,160 | 3,170 | 25 | |
| SDT-RNN2015.04 | 600 | 2,270 | 3,400 | 23 | |
| DeViSE2015.04 | 590 | 2,010 | 2,960 | 29 | |
| DeViSE2015.04 | 480 | 1,650 | 2,730 | 28 | |
| 2WayNet2016.08 | 29.3 | 49.7 | — | — | |
| RNN-FV2016.08 | 23.2 | 53.3 | — | — | |
| CCA2016.08 | 21.3 | 50.1 | — | — | |
| m-CNN2016.08 | 20.3 | 47.6 | — | — | |
| NIC2016.08 | 19 | — | — | — | |
| RCCA2016.08 | 18.7 | 31.1 | — | — | |
| VQA-A2016.08 | 17.2 | 42.8 | — | — | |
| DCCA2016.08 | 12.7 | 31.2 | — | — | |
| SC-NLM2016.08 | 12.5 | 37 | — | — | |
| BRNN2014.12 | 11.8 | 32.1 | 44.7 | 12.4 | |
| DepTree edges2014.12 | 11.6 | 31.4 | 43.8 | 13.2 | |
| Mao et al.2014.12 | 11.5 | 31 | 42.4 | 15 | |
| m-RNN2016.08 | 11.5 | 31 | — | — | |
| Kiros et al.2014.12 | 10.4 | 31 | 43.7 | 14 | |
| Random Ranking2015.04 | 10 | 60 | 110 | 631 | |
| Random Ranking2015.04 | 10 | 50 | 100 | 500 | |
| DeFrag2014.12 | 9.7 | 29.6 | 42.5 | 15 | |
| DeFragimplementation=ours2014.12 | 9.5 | 28.2 | 40.3 | 15.6 | |
| SDT-RNN2014.12 | 8.9 | 29.8 | 41.1 | 16 | |
| DeViSE2014.12 | 6.7 | 21.9 | 32.7 | 25 |