Object Detection on FAIR1M v1.0 (test)
48.35mAPLEGNet-S
Evaluation results
| Method | Links | |
|---|---|---|
| LEGNet-S2025.03 | 48.35 | |
| Strip R-CNN-Sbackbone=StripNet-S, pretraining=ImageNet (300 epochs)2025.01 | 48.26 | |
| LSKNet-S2025.01 | 47.87 | |
| LSKNet-S2025.03 | 47.87 | |
| O-RCNN2025.01 | 45.6 | |
| O-RCNN2025.03 | 45.6 | |
| RoI Trans.2025.01 | 35.29 | |
| RoI Trans.2025.03 | 35.29 | |
| F-RCNN2025.01 | 32.12 | |
| FR-O2025.03 | 32.12 | |
| C-RCNN2025.01 | 31.18 | |
| C-RCNN2025.03 | 31.18 | |
| RetinaNet2025.01 | 30.67 | |
| RetinaNet2025.03 | 30.67 | |
| G. V.2025.01 | 29.92 | |
| Gliding Vertex2025.03 | 29.92 |