Object Detection on PASCAL VOC + COCO-20 2007 (test)
83.2APJoint Training
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Joint TrainingBackbone=Sparse R-CNN, Exemplars=false2022.05 | 83.2 | — | — | 52.9 | |
| ROSETTABackbone=Sparse R-CNN, Exemplars=false2022.05 | 82.3 | — | — | 49.5 | |
| Joint TrainingBackbone=Faster R-CNN, Exemplars=false2022.05 | 81.6 | — | — | 48.8 | |
| Fine-tuningBackbone=Sparse R-CNN, Exemplars=false2022.05 | 81.2 | — | — | 35.7 | |
| ROSETTABackbone=Faster R-CNN, Exemplars=false2022.05 | 80.5 | — | — | 48.6 | |
| Fine-tuningBackbone=Faster R-CNN, Exemplars=false2022.05 | 79.5 | — | — | 23.2 | |
| AFDBackbone=Faster R-CNN, Exemplars=false2022.05 | 77.1 | — | — | 27.8 | |
| AFDBackbone=Faster R-CNN, Exemplars=true2022.05 | 75.2 | — | — | 36.8 | |
| EWCBackbone=Faster R-CNN, Exemplars=false2022.05 | 75 | — | — | 27.2 | |
| MASBackbone=Faster R-CNN, Exemplars=false2022.05 | 74.8 | — | — | 28.1 | |
| EWCBackbone=Faster R-CNN, Exemplars=true2022.05 | 73.4 | — | — | 32.2 | |
| MASBackbone=Faster R-CNN, Exemplars=true2022.05 | 73.4 | — | — | 32.7 | |
| LwF DetectionBackbone=Faster R-CNN, Exemplars=true2022.05 | 73 | — | — | 26.6 | |
| Attention DistillationBackbone=Faster R-CNN, Exemplars=true2022.05 | 73 | — | — | 28.5 | |
| Feature DistillationBackbone=Faster R-CNN, Exemplars=true2022.05 | 72.4 | — | — | 26.9 | |
| Dynamic Thresholding and Re-weightingbackbone=ResNet-50, multi_scale_training=true2021.06 | 56.1 | 79.6 | 61.2 | — | |
| Humble Teacherbackbone=ResNet-50, multi_scale_training=true2021.06 | 54.4 | 81.3 | — | — | |
| Dynamic Thresholding and Re-weightingbackbone=ResNet-502021.06 | 54 | 77.6 | 59.1 | — | |
| Unbiased Teacherbackbone=ResNet-50, multi_scale_training=true2021.06 | 50.3 | 78.8 | — | — | |
| Instant-Teachingbackbone=ResNet-502021.06 | 49.7 | 79 | 54.1 | — | |
| ISMTbackbone=ResNet-502021.06 | 49.6 | 77.7 | — | — | |
| STACbackbone=ResNet-502021.06 | 46 | 79.1 | — | — | |
| Supervisedbackbone=ResNet-502021.06 | 45.3 | 76.3 | 47.5 | — | |
| CSDbackbone=ResNet-502021.06 | — | 75.1 | — | — |