Oriented Object Detection on SAT-MTB Official
81.1CAReDet
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ReDetAccepted By=CVPR2021, Backbone=ReResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 81.1 | 0.2 | 81.8 | 0 | 84.4 | 20 | 53.6 | 85.1 | 2.6 | 0.7 | 80.3 | 48.7 | 43.2 | |
| RetinaNet-OBBAccepted By=ICCV2017, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 51.9 | 13.2 | 86.8 | 5.8 | 81.3 | 0 | 39.6 | 79.2 | 1 | 0 | 84.2 | 22.6 | 38.8 | |
| FCOS-OBBAccepted By=ICCV2019, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 42.6 | 0.1 | 90.6 | 0 | 82.9 | 0 | 57 | 85.7 | 3.4 | 0.1 | 80.4 | 40.2 | 40.3 | |
| Oriented RCNNAccepted By=ICCV2021, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 42.2 | 14.1 | 90 | 0 | 84.4 | 30 | 36.4 | 81.1 | 1.2 | 3.6 | 80.4 | 43.8 | 39.8 | |
| RoI TransformerAccepted By=CVPR2018, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 38.2 | 0.6 | 90.6 | 0.8 | 84.6 | 10 | 35.5 | 82.7 | 10.4 | 1.1 | 80.3 | 54.1 | 39.9 | |
| Faster RCNN-OBBAccepted By=IEEE2017, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 20.7 | 40.2 | 86.5 | 0 | 83 | 0 | 55.7 | 83.4 | 10.2 | 0.1 | 85.7 | 31.6 | 41.4 | |
| R3DetAccepted By=AAAI2021, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 20.7 | 40.2 | 86.5 | 0 | 83 | 0 | 55.7 | 83.4 | 10.2 | 0.1 | 85.7 | 31.6 | 41.4 | |
| S2ANetAccepted By=TGRS2021, Backbone=ResNet50, Training Images=26155, Size=1024, Epoch=122026.06 | 19.1 | 0.8 | 89.7 | 0 | 75.5 | 0 | 69.9 | 72.7 | 9.4 | 0 | 85.9 | 18.3 | 36.8 |