Object Detection on KITTI Kitchen (test)
55.5KITTI mAPJoint Training
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Joint TrainingBackbone=Sparse R-CNN, Exemplars=false2022.05 | 55.5 | 81.8 | |
| Joint TrainingBackbone=Faster R-CNN, Exemplars=false2022.05 | 55 | 83.7 | |
| ROSETTABackbone=Faster R-CNN, Exemplars=false2022.05 | 53.9 | 78.1 | |
| ROSETTABackbone=Sparse R-CNN, Exemplars=false2022.05 | 53.3 | 78.3 | |
| EWCBackbone=Faster R-CNN, Exemplars=true2022.05 | 48.3 | 65.5 | |
| AFDBackbone=Faster R-CNN, Exemplars=true2022.05 | 48.1 | 72.4 | |
| MASBackbone=Faster R-CNN, Exemplars=true2022.05 | 42.8 | 71.7 | |
| Attention DistillationBackbone=Faster R-CNN, Exemplars=true2022.05 | 39.8 | 71 | |
| LwF DetectionBackbone=Faster R-CNN, Exemplars=true2022.05 | 39.4 | 69.9 | |
| AFDBackbone=Faster R-CNN, Exemplars=false2022.05 | 36.6 | 72 | |
| Feature DistillationBackbone=Faster R-CNN, Exemplars=true2022.05 | 35 | 69.4 | |
| Fine-tuningBackbone=Sparse R-CNN, Exemplars=false2022.05 | 20.2 | 79.8 | |
| EWCBackbone=Faster R-CNN, Exemplars=false2022.05 | 15.8 | 65.8 | |
| MASBackbone=Faster R-CNN, Exemplars=false2022.05 | 8.9 | 70.3 | |
| Fine-tuningBackbone=Faster R-CNN, Exemplars=false2022.05 | 7.7 | 82.2 |