Closed-set MOT Track mAP Comparison on TAO 1.0 (val)
0.258Track mAP50AOA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| AOADetector=Faster R-CNN, Use video data for training=true, Stronger detectors and additional data=true2023.04 | 0.258 | — | — | |
| GTR + CenterNet2Backbone=ResNet-101, Detector=CenterNet2, Use video data for training=false, Stronger detectors and additional data=true2023.04 | 0.225 | — | — | |
| OVTrackBackbone=ResNet-50, Detector=Faster R-CNN, Use video data for training=false2023.04 | 0.212 | 10.6 | 15.9 | |
| GTR+Backbone=ResNet-101, Detector=Faster R-CNN, Use video data for training=true2023.04 | 0.204 | — | — | |
| BIVBackbone=ResNet-101, Detector=Faster R-CNN, Use video data for training=true2023.04 | 0.196 | 7.3 | 13.6 | |
| TACBackbone=ResNet-101, Detector=Faster R-CNN, Use video data for training=true2023.04 | 0.177 | 5.8 | 7.3 | |
| QDTrackBackbone=ResNet-101, Detector=Faster R-CNN, Use video data for training=true2023.04 | 0.159 | 5 | 10.6 | |
| SORT-TAOBackbone=ResNet-101, Detector=Faster R-CNN, Use video data for training=true2023.04 | 0.132 | — | — |