Object Detection on DIOR-R (test)
68.4mAPLEGNet-S
Evaluation results
| Method | Links | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LEGNet-S#P (M)=29.9, FLOPs (G)=118.1, Resolution=800x8002025.03 | 68.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PKINet-S#P (M)=30.8, FLOPs (G)=118.1, Resolution=800x8002025.03 | 67.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCFL#P (M)=36.1, Resolution=800x8002025.03 | 66.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Oriented Rep#P (M)=36.6, FLOPs (G)=118.8, Resolution=800x8002025.03 | 66.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSKNet-S#P (M)=31.0, FLOPs (G)=173.6, Resolution=800x8002025.03 | 65.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoI Trans.#P (M)=55.1, FLOPs (G)=148.4, Resolution=800x8002025.03 | 63.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| G.V.#P (M)=41.1, FLOPs (G)=134.4, Resolution=800x8002025.03 | 60.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FR-O#P (M)=41.1, FLOPs (G)=134.4, Resolution=800x8002025.03 | 59.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Oriented R-CNNPretrain=MAE, Backbone=ViTAE-B + RVSA♦2022.08 | 0.7105 | 0.812 | 0.5471 | 0.8112 | 0.8813 | 0.5183 | 0.7993 | 0.3679 | 0.7606 | 0.8923 | 0.783 | 0.8446 | 0.4729 | 0.6501 | 0.8119 | 0.8217 | 0.7069 | 0.9003 | 0.6675 | 0.5073 | 0.654 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViTAE-B + RVSA2022.08 | 0.7095 | 0.8105 | 0.5098 | 0.8104 | 0.879 | 0.5148 | 0.8063 | 0.4096 | 0.7591 | 0.8873 | 0.7884 | 0.8392 | 0.4658 | 0.6457 | 0.8117 | 0.8262 | 0.7098 | 0.8986 | 0.6576 | 0.5036 | 0.6572 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViT-B + RVSA♦2022.08 | 0.7085 | 0.8092 | 0.4988 | 0.8105 | 0.8852 | 0.5152 | 0.8017 | 0.3787 | 0.7596 | 0.8883 | 0.7846 | 0.8401 | 0.4653 | 0.6418 | 0.8121 | 0.8404 | 0.7134 | 0.8999 | 0.6541 | 0.5053 | 0.6649 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViTAE-B + VSA2022.08 | 0.7081 | 0.8126 | 0.5226 | 0.811 | 0.8847 | 0.5135 | 0.8018 | 0.374 | 0.7529 | 0.8892 | 0.7752 | 0.8433 | 0.4731 | 0.6373 | 0.8118 | 0.8303 | 0.7113 | 0.9004 | 0.6501 | 0.5081 | 0.6582 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViT-B + RVSA2022.08 | 0.7067 | 0.811 | 0.4886 | 0.8113 | 0.8827 | 0.5102 | 0.7991 | 0.3912 | 0.7469 | 0.886 | 0.7783 | 0.8353 | 0.4648 | 0.6414 | 0.8119 | 0.8405 | 0.7147 | 0.8997 | 0.6573 | 0.5058 | 0.6562 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViT-B + VSA2022.08 | 0.7048 | 0.812 | 0.5068 | 0.8095 | 0.8741 | 0.5127 | 0.8087 | 0.3461 | 0.764 | 0.8832 | 0.7821 | 0.8331 | 0.4584 | 0.6402 | 0.8123 | 0.8287 | 0.7131 | 0.8986 | 0.6466 | 0.5084 | 0.6581 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViTAE-B2022.08 | 0.684 | 0.813 | 0.4673 | 0.8109 | 0.8762 | 0.4738 | 0.7979 | 0.3199 | 0.6972 | 0.8671 | 0.7623 | 0.8213 | 0.4247 | 0.6045 | 0.812 | 0.8011 | 0.6275 | 0.8975 | 0.6456 | 0.5077 | 0.6533 | |
| Oriented R-CNNPretrain=MAE, Backbone=ViT-B2022.08 | 0.6665 | 0.8104 | 0.4186 | 0.8079 | 0.8139 | 0.4483 | 0.7835 | 0.3512 | 0.6767 | 0.8485 | 0.7544 | 0.808 | 0.3765 | 0.5933 | 0.8115 | 0.787 | 0.6287 | 0.8983 | 0.5617 | 0.4987 | 0.6536 | |
| DODetPretrain=IMP, Backbone=ResNet-502022.08 | 0.651 | 0.634 | 0.4335 | 0.7211 | 0.8132 | 0.4312 | 0.7259 | 0.3332 | 0.7877 | 0.7084 | 0.7415 | 0.7547 | 0.48 | 0.5931 | 0.8541 | 0.7404 | 0.7156 | 0.8152 | 0.5547 | 0.5186 | 0.664 | |
| AOPGPretrain=IMP, Backbone=ResNet-502022.08 | 0.6441 | 0.6239 | 0.3779 | 0.7162 | 0.8763 | 0.409 | 0.7247 | 0.3108 | 0.6542 | 0.7799 | 0.732 | 0.8194 | 0.4232 | 0.5445 | 0.8117 | 0.7269 | 0.7131 | 0.8149 | 0.6004 | 0.5238 | 0.6999 | |
| ROI Trans.Pretrain=IMP, Backbone=ResNet-502022.08 | 0.6387 | 0.6334 | 0.3788 | 0.7178 | 0.8753 | 0.4068 | 0.726 | 0.2686 | 0.7871 | 0.6809 | 0.6896 | 0.8274 | 0.4771 | 0.5561 | 0.8121 | 0.7823 | 0.7026 | 0.8161 | 0.5486 | 0.4327 | 0.6552 | |
| Gilding VertexPretrain=IMP, Backbone=ResNet-502022.08 | 0.6006 | 0.6535 | 0.2887 | 0.7496 | 0.8133 | 0.3388 | 0.7431 | 0.1958 | 0.7072 | 0.647 | 0.723 | 0.7868 | 0.3722 | 0.4964 | 0.8022 | 0.6926 | 0.6113 | 0.8149 | 0.4476 | 0.4771 | 0.6504 | |
| Faster R-CNN-OPretrain=IMP, Backbone=ResNet-502022.08 | 0.5954 | 0.6279 | 0.268 | 0.7172 | 0.8091 | 0.342 | 0.7257 | 0.1895 | 0.6645 | 0.6575 | 0.6663 | 0.7924 | 0.3495 | 0.4879 | 0.8114 | 0.6434 | 0.7121 | 0.8144 | 0.4731 | 0.5046 | 0.6521 | |
| RetinaNet-OPretrain=IMP, Backbone=ResNet-502022.08 | 0.5755 | 0.6149 | 0.2852 | 0.7357 | 0.8117 | 0.2398 | 0.7254 | 0.1994 | 0.7239 | 0.582 | 0.6925 | 0.7954 | 0.3214 | 0.4487 | 0.7771 | 0.6757 | 0.6109 | 0.8146 | 0.4733 | 0.3801 | 0.6024 |