Oriented Object Detection on DIOR-R (test)
74.27mAP50SkySense
Evaluation results
| Method | Links | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SkySensePublication=CVPR’242026.04 | 74.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RemoteAgentPublication=-2026.04 | 73.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IGOFormerbackbone=R-502026.02 | 69.27 | 73.98 | 49.79 | 75.85 | 87.07 | 49.51 | 78.65 | 84.51 | 72.87 | 36.22 | 73.55 | 82.66 | 47.48 | 60.9 | 89.61 | 76.76 | 76.26 | 87.38 | 52.71 | 58.33 | 71.25 | — | — | |
| GFMPublication=ICCV’232026.04 | 67.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OrientedFormerbackbone=R-502026.02 | 67.28 | 65.65 | 48.69 | 78.79 | 87.17 | 41.9 | 76.34 | 34.37 | 72.14 | 81.4 | 75.34 | 79.83 | 45.15 | 56.12 | 88.66 | 67.59 | 72.68 | 87.32 | 60.31 | 56.54 | 69.56 | — | — | |
| Scale-MAEPublication=ICCV’232026.04 | 66.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ARS-DETRbackbone=R-502026.02 | 65.9 | 65.82 | 53.4 | 74.22 | 81.11 | 42.13 | 76.23 | 82.24 | 71.52 | 38.9 | 75.91 | 77.91 | 33.03 | 57.02 | 84.82 | 69.71 | 72.2 | 80.33 | 58.91 | 51.52 | 70.73 | — | — | |
| CFA2026.02 | 65.25 | 61.1 | 44.93 | 77.62 | 84.67 | 37.69 | 75.71 | 82.68 | 72.03 | 33.41 | 77.25 | 79.94 | 46.2 | 54.27 | 87.01 | 70.43 | 69.58 | 81.55 | 55.51 | 49.53 | 64.92 | — | — | |
| KLD2026.02 | 64.63 | 66.52 | 46.8 | 71.76 | 81.43 | 40.81 | 78.25 | 79.23 | 66.63 | 29.01 | 78.68 | 80.19 | 44.88 | 57.23 | 80.91 | 74.17 | 68.02 | 81.48 | 54.63 | 47.8 | 64.41 | — | — | |
| Oriented RCNNbackbone=R-502026.02 | 64.53 | 63.31 | 43.1 | 71.89 | 81.17 | 44.78 | 72.64 | 80.12 | 69.67 | 33.78 | 77.92 | 83.11 | 46.29 | 58.31 | 81.17 | 74.54 | 62.32 | 81.29 | 56.3 | 43.78 | 65.26 | — | — | |
| S2A-Net2026.02 | 64.5 | 67.98 | 44.44 | 71.63 | 81.39 | 42.66 | 72.72 | 79.03 | 70.4 | 27.08 | 75.56 | 81.02 | 43.41 | 56.45 | 81.12 | 68 | 70.03 | 87.07 | 53.88 | 51.12 | 65.31 | — | — | |
| AOPG2026.02 | 64.41 | 62.39 | 37.79 | 71.69 | 87.63 | 40.9 | 72.47 | 31.08 | 65.42 | 77.99 | 73.2 | 81.94 | 42.32 | 54.45 | 81.17 | 72.69 | 71.31 | 81.49 | 60.04 | 52.38 | 69.99 | — | — | |
| RoI Trans.2026.02 | 64.31 | 63.18 | 44.33 | 71.91 | 81.26 | 42.19 | 72.64 | 79.3 | 69.67 | 29.42 | 77.33 | 82.88 | 48.09 | 57.03 | 81.18 | 77.32 | 62.45 | 81.38 | 54.34 | 43.91 | 66.3 | — | — | |
| ReDetbackbone=ReR-502026.02 | 63.81 | 63.22 | 44.18 | 72.11 | 81.26 | 43.83 | 72.72 | 79.1 | 69.78 | 28.45 | 78.69 | 77.18 | 48.24 | 56.81 | 81.17 | 69.17 | 62.73 | 81.42 | 54.9 | 44.04 | 66.37 | — | — | |
| Rotated ATSS2026.02 | 63.52 | 62.19 | 44.63 | 71.55 | 81.42 | 41.08 | 72.37 | 78.54 | 67.5 | 30.56 | 75.69 | 79.11 | 42.77 | 56.31 | 80.92 | 67.78 | 69.24 | 81.62 | 55.45 | 47.79 | 64.1 | — | — | |
| Rotated Faster RCNN2026.02 | 63.41 | 63.07 | 40.22 | 71.89 | 81.36 | 39.67 | 72.51 | 79.19 | 69.45 | 26 | 77.93 | 82.28 | 46.91 | 53.9 | 81.03 | 75.77 | 62.54 | 81.42 | 54.5 | 43.17 | 65.73 | — | — | |
| Rotated FCOS2026.02 | 63.21 | 62.31 | 42.18 | 75.34 | 81.32 | 39.26 | 74.89 | 77.42 | 68.67 | 26 | 73.94 | 78.73 | 41.28 | 54.19 | 80.61 | 66.92 | 69.17 | 87.2 | 52.31 | 47.08 | 65.21 | — | — | |
| Gliding Vertex2026.02 | 62.91 | 62.67 | 38.56 | 71.94 | 81.2 | 37.73 | 72.48 | 78.62 | 69.04 | 22.81 | 77.89 | 82.13 | 46.22 | 54.76 | 81.03 | 74.88 | 62.54 | 81.41 | 54.25 | 43.22 | 65.13 | — | — | |
| Oriented R-CNNsupervision=RBox-supervised2023.11 | 62.8 | 63.1 | 34 | 79.1 | 87.6 | 41.2 | 72.6 | 76.6 | 65 | 26.9 | 69.4 | 82.8 | 40.7 | 55.9 | 81.1 | 72.9 | 62.7 | 81.4 | 53.6 | 43.2 | 65.6 | 69.88 | — | |
| R3Det2026.02 | 61.91 | 62.55 | 43.44 | 71.72 | 81.48 | 36.49 | 72.63 | 79.5 | 64.41 | 27.02 | 77.36 | 77.17 | 40.53 | 53.33 | 79.66 | 69.22 | 61.1 | 81.54 | 52.18 | 43.57 | 64.13 | — | — | |
| GWD2026.02 | 60.31 | 69.68 | 28.83 | 74.32 | 81.49 | 29.62 | 72.67 | 76.45 | 63.14 | 27.13 | 77.19 | 78.94 | 39.11 | 42.18 | 79.1 | 70.41 | 58.69 | 81.52 | 47.78 | 44.47 | 62.63 | — | — | |
| Rotated FCOSsupervision=RBox-supervised2023.11 | 59.83 | 61.4 | 38.7 | 74.3 | 81.1 | 30.9 | 72 | 74.1 | 62 | 25.3 | 69.7 | 79 | 32.8 | 48.5 | 80 | 63.9 | 68.2 | 81.4 | 46.4 | 42.7 | 64.4 | 66.59 | — | |
| SASM2026.02 | 59.81 | 61.41 | 46.03 | 73.22 | 82.04 | 29.41 | 71.03 | 69.22 | 53.91 | 30.63 | 70.04 | 77.02 | 39.33 | 47.51 | 78.62 | 66.14 | 62.92 | 79.93 | 54.41 | 40.62 | 63.01 | — | — | |
| H2RBox-v2supervision=HBox-supervised2023.11 | 57.64 | 67.2 | 37.7 | 55.6 | 80.8 | 29.3 | 66.8 | 76.1 | 58.4 | 26.4 | 53.9 | 80.3 | 25.3 | 48.9 | 78.8 | 67.6 | 62.4 | 82.5 | 49.7 | 42 | 63.1 | 67.8 | — | |
| H2RBoxsupervision=HBox-supervised2023.11 | 57.5 | 68.1 | 13 | 75 | 85.4 | 19.4 | 72.1 | 64.4 | 60 | 23.6 | 68.9 | 78.4 | 34.7 | 44.2 | 79.3 | 65.2 | 69.1 | 81.5 | 53 | 40 | 61.5 | 64.06 | — | |
| Rotated RetinaNetsupervision=RBox-supervised2023.11 | 54.96 | 58.9 | 19.8 | 73.1 | 81.3 | 17 | 72.6 | 68 | 47.3 | 20.7 | 74 | 73.9 | 32.5 | 32.4 | 75.1 | 67.2 | 58.9 | 81 | 44.5 | 38.3 | 62.6 | 64.26 | — | |
| PointOBBsupervision=Point-supervised, detector=Oriented R-CNN2023.11 | 38.08 | 58.2 | 15.3 | 70.5 | 78.6 | 0.1 | 72.2 | 69.6 | 1.8 | 3.7 | 0.3 | 77.3 | 16.7 | 4 | 79.2 | 39.6 | 51.7 | 44.9 | 16.8 | 33.6 | 27.7 | 57.38 | — | |
| PointOBBsupervision=Point-supervised, detector=Rotated FCOS2023.11 | 37.31 | 58.4 | 17.1 | 70.7 | 77.7 | 0.1 | 70.3 | 64.7 | 4.5 | 7.2 | 0.8 | 74.2 | 9.9 | 9.1 | 69 | 38.2 | 49.8 | 46.1 | 16.8 | 32.4 | 29.6 | 54.8 | — | |
| P2BNet + H2RBox-v2supervision=Point-supervised2023.11 | 23.61 | 51.6 | 3 | 65.2 | 78.3 | 0.1 | 8.1 | 7.6 | 6.3 | 0.8 | 0.3 | 44.9 | 2.3 | 0.1 | 35.9 | 9.3 | 39.2 | 79 | 8.8 | 10.3 | 21.3 | 45.94 | — | |
| P2BNet + H2RBoxsupervision=Point-supervised2023.11 | 22.59 | 52.7 | 0.1 | 60.6 | 80 | 0.1 | 22.6 | 11.5 | 5.2 | 0.7 | 0.2 | 42.8 | 2.8 | 0.2 | 25.1 | 8.6 | 29.1 | 69.8 | 9.6 | 7.4 | 22.6 | 42.65 | — | |
| WSODetsupervision=Image-supervised2023.11 | 22.2 | 20.7 | 29 | 63.2 | 67.3 | 0.2 | 65.5 | 0.4 | 0.1 | 0.3 | 49 | 28.9 | 0.3 | 1.5 | 1.2 | 53.4 | 16.4 | 40 | 0.1 | 6.1 | 0.1 | 28.46 | — | |
| Point2Mask-RBoxsupervision=Point-supervised2023.11 | 13.77 | 15.6 | 0.1 | 50.6 | 25.4 | 4.2 | 50.9 | 23.8 | 17.5 | 8.1 | 0.8 | 9.6 | 1.4 | 15.3 | 1.6 | 5.8 | 6.3 | 17.9 | 7.1 | 4.5 | 9.2 | 15.25 | — | |
| ARC-R50#P (M)=74.4, FLOPS (G)=212, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 65.51 | |
| DCFL2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.8 | |
| DecoupleNet-D2#P (M)=23.3, FLOPS (G)=142.4, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 67.08 | |
| EfficientFormerV2-S2#P (M)=29.2, FLOPS (G)=145.1, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 65 | |
| FasterNet-T2#P (M)=30, FLOPS (G)=160.3, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 63.66 | |
| FR-OBB2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.54 | |
| GGHL2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.48 | |
| LSKNet-S2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 65.9 | |
| LSKNet-S#P (M)=31, FLOPS (G)=161, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 65.9 | |
| LWGANet-L2#P (M)=29.2, FLOPS (G)=159.1, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 68.53 | |
| Oriented Rep2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 66.71 | |
| PKINet-SPre-trained=ImageNet-1K, Framework=Oriented RCNN, Pre-train Epochs=3002024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 67.03 | |
| PKINet-S#P (M)=30.8, FLOPS (G)=184.6, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 67.03 | |
| ResNet-50#P (M)=41.1, FLOPS (G)=211.4, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 64.3 | |
| RetinaNet-O2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.55 | |
| RT2024.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 63.87 |