Active Object Detection on Ego4D v1 (val)
40.5APKAD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| KADBackbone=Swin-L2024.05 | 40.5 | 60.6 | 41.9 | |
| Intern VideoBackbone=Swin-L2024.05 | 36.4 | 56.5 | 37.6 | |
| KADBackbone=ResNet-502024.05 | 31.4 | 34.6 | 28.9 | |
| Intern VideoBackbone=Uniformer-L2024.05 | 24.8 | 44.3 | 24 | |
| DETRBackbone=ResNet-502024.05 | 15.5 | 32.8 | 13 | |
| FasterRCNNBackbone=ResNet-1012024.05 | 13.4 | 25.6 | 12.5 | |
| 100DOH-modelBackbone=ResNet-1012024.05 | 10.7 | 20.6 | 10.1 | |
| CenterNetBackbone=DLA-342024.05 | 6.4 | 11.7 | 6.1 |