Object Detection on VOC (test)
86.9AP50KGD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| KGDUse WordNet and CLIP=true2024.01 | 86.9 | — | |
| HCLUse WordNet and CLIP=true2024.01 | 86.5 | — | |
| IRG-SFDAUse WordNet and CLIP=true2024.01 | 86.3 | — | |
| MTUse WordNet and CLIP=true2024.01 | 86.2 | — | |
| SFODUse WordNet and CLIP=true2024.01 | 86.2 | — | |
| IRG-SFDAUse WordNet and CLIP=false2024.01 | 86 | — | |
| HCLUse WordNet and CLIP=false2024.01 | 85.8 | — | |
| MTUse WordNet and CLIP=false2024.01 | 85.6 | — | |
| SFODUse WordNet and CLIP=false2024.01 | 85.5 | — | |
| SHOTUse WordNet and CLIP=true2024.01 | 84.5 | — | |
| SHOTUse WordNet and CLIP=false2024.01 | 84 | — | |
| DeticBaseline=true2024.01 | 83.9 | — | |
| GoodQQuantization=W4A4, Model=YOLOv11-s, gamma=0.52026.06 | 66.2 | 43.3 | |
| TSODQuantization=W4A4, Model=YOLOv11-s, gamma=0.52026.06 | 63.9 | 42 | |
| GoodQQuantization=W3A3, Model=YOLOv11-s, gamma=0.52026.06 | 23 | 11.1 | |
| TSODQuantization=W3A3, Model=YOLOv11-s, gamma=0.52026.06 | 18.8 | 8.5 | |
| Energy scoreGroup=2, Backbone=Faster-RCNN2023.03 | — | 47.4 | |
| Faster RCNNGroup=1, Backbone=Faster-RCNN2023.03 | — | 48.3 | |
| MahalanobisGroup=2, Backbone=Faster-RCNN2023.03 | — | 44.7 | |
| MSPGroup=2, Backbone=Faster-RCNN2023.03 | — | 47 | |
| OREGroup=3, Backbone=Faster-RCNN2023.03 | — | 24.3 | |
| OW-DETRGroup=3, Backbone=Deformable DETR2023.03 | — | 42 | |
| UnSnifferGroup=5, Backbone=Faster-RCNN2023.03 | — | 46.4 | |
| VOSGroup=4, Backbone=Faster-RCNN, Threshold source=BDD100K dataset2023.03 | — | 48.5 | |
| VOSGroup=4, Backbone=Faster-RCNN, Threshold source=COCO-OOD dataset2023.03 | — | 46.9 |