Object Detection on ODinW v1 (test)
71.8mAPScaleDet-B
Evaluation results
| Method | Links | |
|---|---|---|
| ScaleDet-BModel Type=detection, #Data=3.6M, Backbone=Swin-Base, Evaluation Protocol=fine-tune2023.06 | 71.8 | |
| ScaleDet-TModel Type=detection, #Data=3.6M, Backbone=Swin-Tiny, Evaluation Protocol=fine-tune2023.06 | 70.4 | |
| Detic-BModel Type=detection + classification, #Data=12.6M, Backbone=Swin-Base, Evaluation Protocol=fine-tune2023.06 | 70.1 | |
| GLIPv2-BModel Type=detection + understanding, #Data=20.5M, Backbone=Swin-Base, Evaluation Protocol=fine-tune2023.06 | 69.4 | |
| ScaleDet-RModel Type=detection, #Data=3.6M, Backbone=ResNet50, Evaluation Protocol=fine-tune2023.06 | 68.5 | |
| GLIPv2-TModel Type=detection + understanding, #Data=5.5M, Backbone=Swin-Tiny, Evaluation Protocol=fine-tune2023.06 | 66.5 | |
| GLIP-TModel Type=detection + understanding, #Data=5.5M, Backbone=Swin-Tiny, Evaluation Protocol=fine-tune2023.06 | 64.9 | |
| Detic-RModel Type=detection + classification, #Data=12.6M, Backbone=ResNet50, Evaluation Protocol=fine-tune2023.06 | 64.4 | |
| GLIPv2-BModel Type=detection + understanding, #Data=20.5M, Backbone=Swin-Base, Evaluation Protocol=direct2023.06 | 54.2 | |
| GLIPv2-TModel Type=detection + understanding, #Data=5.5M, Backbone=Swin-Tiny, Evaluation Protocol=direct2023.06 | 48.5 | |
| ScaleDet-BModel Type=detection, #Data=3.6M, Backbone=Swin-Base, Evaluation Protocol=direct2023.06 | 47.3 | |
| GLIP-TModel Type=detection + understanding, #Data=5.5M, Backbone=Swin-Tiny, Evaluation Protocol=direct2023.06 | 46.5 | |
| ScaleDet-TModel Type=detection, #Data=3.6M, Backbone=Swin-Tiny, Evaluation Protocol=direct2023.06 | 44.3 | |
| ScaleDet-RModel Type=detection, #Data=3.6M, Backbone=ResNet50, Evaluation Protocol=direct2023.06 | 39.4 | |
| Detic-BModel Type=detection + classification, #Data=12.6M, Backbone=Swin-Base, Evaluation Protocol=direct2023.06 | 38.7 | |
| Detic-RModel Type=detection + classification, #Data=12.6M, Backbone=ResNet50, Evaluation Protocol=direct2023.06 | 29.4 |