Object Detection on PASCAL VOC 2007
82.1mAPOW-DETR
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OW-DETR2021.12 | 82.1 | — | — | |
| Standard Faster R-CNN2021.12 | 81.8 | — | — | |
| ORE2021.12 | 81.3 | — | — | |
| Standard RetinaNet2021.12 | 79.2 | — | — | |
| Dropout Sampling2021.12 | 78.1 | — | — | |
| Res2Net-50Backbone=Res2Net-502019.04 | 74.4 | — | — | |
| ResNet-50Backbone=ResNet-502019.04 | 72.1 | — | — | |
| Ours (full)2017.04 | 71.4 | — | — | |
| OHEM2017.04 | 69.9 | — | — | |
| Object DiscoveryProposal=Multiscale Combinatorial Grouping (MCG)2022.08 | 58.7 | — | — | |
| CASDProposal=Multiscale Combinatorial Grouping (MCG)2022.08 | 57.4 | — | — | |
| ImageNet labelsfrozen layers=none, fine-tuned layers=all2016.11 | 56.8 | — | — | |
| CASDProposal=Selective Search (SS)2022.08 | 56.8 | — | — | |
| MISTProposal=Multiscale Combinatorial Grouping (MCG)2022.08 | 56.5 | — | — | |
| Object DiscoveryProposal=Selective Search (SS)2022.08 | 56.1 | — | — | |
| MISTProposal=Selective Search (SS)2022.08 | 54.9 | — | — | |
| WSOD2Proposal=Selective Search (SS)2022.08 | 53.6 | — | — | |
| SLVProposal=Selective Search (SS)2022.08 | 53.5 | — | — | |
| C-MIDNProposal=Selective Search (SS)2022.08 | 52.6 | — | — | |
| Pathak et al. [34]frozen layers=none, fine-tuned layers=all2016.11 | 52.2 | — | — | |
| MoCov3 + DATtraining_strategy=DAT2022.09 | 51.92 | 80.97 | 56.04 | |
| SimSiam + DATtraining_strategy=DAT2022.09 | 51.73 | 79.69 | 55.74 | |
| Doersch et al.frozen layers=none, fine-tuned layers=all, rescaled weights=true2016.11 | 51.1 | — | — | |
| C-MILProposal=Selective Search (SS)2022.08 | 50.5 | — | — | |
| MoCov3training_strategy=baseline2022.09 | 50.42 | 80.53 | 53.93 | |
| OIMProposal=Selective Search (SS)2022.08 | 50.1 | — | — | |
| SimSiamtraining_strategy=baseline2022.09 | 48.92 | 77.22 | 52.69 | |
| SimCLR + DATtraining_strategy=DAT2022.09 | 48.83 | 79.27 | 51.95 | |
| SimCLRtraining_strategy=baseline2022.09 | 48.5 | 78.75 | 51.35 | |
| WSRPNProposal=Selective Search (SS)2022.08 | 47.9 | — | — | |
| Wang & Guptafrozen layers=none, fine-tuned layers=all, rescaled weights=false2016.11 | 47.4 | — | — | |
| Wang & Guptafrozen layers=none, fine-tuned layers=all, rescaled weights=true2016.11 | 47.2 | — | — | |
| Donahue et al.frozen layers=none, fine-tuned layers=all, rescaled weights=true2016.11 | 46.9 | — | — | |
| Zhang et al.frozen layers=none, fine-tuned layers=all, rescaled weights=true2016.11 | 46.9 | — | — | |
| C-WSLProposal=Selective Search (SS)2022.08 | 46.8 | — | — | |
| Split-Brain Auto (cl,cl)frozen layers=none, fine-tuned layers=all2016.11 | 46.7 | — | — | |
| Doersch et al.frozen layers=none, fine-tuned layers=all, rescaled weights=false2016.11 | 46.6 | — | — | |
| Krähenbühl et al.frozen layers=none, fine-tuned layers=all2016.11 | 45.6 | — | — | |
| Pathak et al.frozen layers=none, fine-tuned layers=all2016.11 | 44.5 | — | — | |
| Owens et al.frozen layers=none, fine-tuned layers=all, rescaled weights=false2016.11 | 44 | — | — | |
| Agrawal et al. (Row 7)frozen layers=none, fine-tuned layers=all2016.11 | 43.9 | — | — | |
| PCLProposal=Selective Search (SS)2022.08 | 43.5 | — | — | |
| Gaussianfrozen layers=none, fine-tuned layers=all2016.11 | 43.4 | — | — | |
| Misra et al.frozen layers=none, fine-tuned layers=all2016.11 | 42.4 | — | — | |
| Autoencoderfrozen layers=none, fine-tuned layers=all2016.11 | 41.9 | — | — | |
| Agrawal et al. (Row 6)frozen layers=none, fine-tuned layers=all2016.11 | 41.8 | — | — | |
| Jayaraman & Graumanfrozen layers=none, fine-tuned layers=all2016.11 | 41.7 | — | — | |
| OICRProposal=Selective Search (SS)2022.08 | 41.2 | — | — | |
| WSDDNProposal=Selective Search (SS)2022.08 | 34.8 | — | — | |
| DPATCH18Threat=White-box (WB), Physicality=Digital, Attack Type=Both (B)2026.06 | 0 | — | — |