Oriented Object Detection on DOTA v1.5 (test)
78.12mAPRTMDet-R-l
Evaluation results
| Method | Links | ||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RTMDet-R-lMS=true2022.12 | 78.12 | 89.31 | 86.38 | 55.09 | 83.17 | 66.11 | 82.44 | 89.85 | 90.84 | 86.95 | 83.76 | 68.35 | 74.36 | 77.87 | 77.39 | 77.6 | 60.37 | — | — | — | — | — | — | — | — | — | |
| ReDetmulti-scale=true2021.03 | 76.8 | 88.51 | 86.45 | 61.23 | 81.2 | 67.6 | 83.65 | 90 | 90.86 | 84.3 | 75.33 | 71.49 | 72.06 | 78.32 | 74.73 | 76.1 | 46.98 | — | — | — | — | — | — | — | — | — | |
| ReDetMS=true2022.12 | 76.8 | 88.51 | 86.45 | 61.23 | 81.2 | 67.6 | 83.65 | 90 | 90.86 | 84.3 | 75.33 | 71.49 | 72.06 | 76.1 | 74.73 | 78.32 | 46.98 | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-mMS=true2022.12 | 76.65 | 89.07 | 86.71 | 52.57 | 82.47 | 66.13 | 82.55 | 89.77 | 90.88 | 84.39 | 83.34 | 69.51 | 73.03 | 80.21 | 75.98 | 77.82 | 42 | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-sMS=true2022.12 | 76.02 | 88.14 | 85.82 | 52.9 | 82.09 | 65.58 | 81.83 | 89.78 | 90.82 | 83.31 | 82.47 | 68.51 | 70.93 | 73.09 | 75.77 | 78 | 47.32 | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-tinyMS=true2022.12 | 74.98 | 88.14 | 83.09 | 51.8 | 77.54 | 65.99 | 82.22 | 89.81 | 90.88 | 80.54 | 81.34 | 64.64 | 71.51 | 72.11 | 76.32 | 77.13 | 46.67 | — | — | — | — | — | — | — | — | — | |
| OWSRmulti-scale=true2021.03 | 74.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OWSRMS=true2022.12 | 74.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-lMS=false2022.12 | 73.82 | 80.73 | 84.79 | 54.09 | 76.3 | 63.56 | 83.06 | 89.77 | 90.89 | 86.65 | 76.98 | 63.68 | 70.31 | 75.09 | 75.91 | 78.11 | 31.2 | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-mMS=false2022.12 | 73.36 | 80.34 | 86 | 54.02 | 72.98 | 63.21 | 82.09 | 89.46 | 90.87 | 85.12 | 76.69 | 63.12 | 72.14 | 71.57 | 76.04 | 77.91 | 32.24 | — | — | — | — | — | — | — | — | — | |
| LWGANet-L2#P (M)=29.2, FLOPS (G)=159.1, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 72.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S2#P (M)=29.2, FLOPS (G)=145.1, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 72.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAFNEMS=false2022.12 | 71.99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TLFBackbone=ConvNeXt-T, Scale=Single-scale2024.07 | 71.99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-sMS=false2022.12 | 71.79 | 80.05 | 84.36 | 50.65 | 72.04 | 59.54 | 81.79 | 89.22 | 90.9 | 83.07 | 76.27 | 56.82 | 72.13 | 65.66 | 77.04 | 76.25 | 32.84 | — | — | — | — | — | — | — | — | — | |
| PKINet-SFramework=Oriented RCNN, Backbone Pre-training=ImageNet-1K for 300 epochs, Scale=single-scale2024.03 | 71.47 | 80.31 | 85 | 55.61 | 74.38 | 52.41 | 76.85 | 88.38 | 90.87 | 79.04 | 68.78 | 67.47 | 72.45 | 76.24 | 74.53 | 64.07 | 37.13 | — | — | — | — | — | — | — | — | — | |
| PKINet-SScale=Single-scale2024.07 | 71.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PKINet-S#P (M)=30.8, FLOPS (G)=184.6, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 71.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DecoupleNet-D2#P (M)=23.3, FLOPS (G)=142.4, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 71.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FasterNet-T2#P (M)=30, FLOPS (G)=160.3, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 71.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSKNet-SScale=single-scale2024.03 | 70.26 | 72.05 | 84.94 | 55.41 | 74.93 | 52.42 | 77.45 | 81.17 | 90.85 | 79.44 | 69 | 62.1 | 73.72 | 77.49 | 75.29 | 55.81 | 42.19 | — | — | — | — | — | — | — | — | — | |
| LSKNet-SScale=Single-scale2024.07 | 70.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSKNet-S#P (M)=31, FLOPS (G)=161, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 70.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCFLBackbone=ReR1012023.04 | 70.24 | — | — | — | — | 57.31 | — | 86.6 | — | — | 76.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RTMDet-R-tinyMS=false2022.12 | 69.3 | 77.79 | 83.03 | 48.45 | 73.37 | 59.33 | 81.3 | 88.89 | 90.88 | 80.73 | 76.26 | 51.81 | 71.59 | 54.36 | 75.19 | 75.81 | 20.01 | — | — | — | — | — | — | — | — | — | |
| ARC-R50#P (M)=74.4, FLOPS (G)=212, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 68.31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TLFBackbone=R-50, Scale=Single-scale2024.07 | 67.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCFLBackbone=R502023.04 | 67.37 | — | — | — | — | 56.72 | — | 80.87 | — | — | 75.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCFLScale=single-scale2024.03 | 67.37 | — | — | — | — | 56.72 | — | 80.87 | — | 75.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-50#P (M)=41.1, FLOPS (G)=211.4, Detector=Oriented R-CNN, Single-scale training and testing=true2025.01 | 66.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ReDetmulti-scale=false2021.03 | 66.86 | 79.2 | 82.81 | 51.92 | 71.41 | 52.38 | 75.73 | 80.92 | 90.83 | 75.81 | 68.64 | 49.29 | 72.03 | 73.36 | 70.55 | 63.33 | 11.53 | — | — | — | — | — | — | — | — | — | |
| ReDetMS=false2022.12 | 66.86 | 79.2 | 82.81 | 51.92 | 71.41 | 52.38 | 75.73 | 80.92 | 90.83 | 75.81 | 68.64 | 49.29 | 72.03 | 63.33 | 70.55 | 73.36 | 11.53 | — | — | — | — | — | — | — | — | — | |
| ReDetBackbone=ReR502023.04 | 66.86 | — | — | — | — | 52.38 | — | 80.92 | — | — | 68.64 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ReDetScale=single-scale2024.03 | 66.86 | 79.2 | 82.81 | 51.92 | 71.41 | 52.38 | 75.73 | 80.92 | 90.83 | 75.81 | 68.64 | 49.29 | 72.03 | 73.36 | 70.55 | 63.33 | 11.53 | — | — | — | — | — | — | — | — | — | |
| ReDetScale=Single-scale2024.07 | 66.86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCFLScale=Single-scale2024.07 | 66.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Oriented RepScale=Single-scale2024.07 | 66.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GGHLScale=Single-scale2024.07 | 66.48 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RTBackbone=R502023.04 | 65.03 | — | — | — | — | 52.05 | — | 80.72 | — | — | 68.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AOPGScale=Single-scale2024.07 | 64.41 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RoI TransScale=Single-scale2024.07 | 63.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CMRBackbone=R502023.04 | 63.41 | — | — | — | — | 51.64 | — | 79.99 | — | — | 67.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HTCmulti-scale=false2021.03 | 63.4 | 77.8 | 73.67 | 51.4 | 63.99 | 51.54 | 73.31 | 80.31 | 90.48 | 75.12 | 67.34 | 48.51 | 70.63 | 64.84 | 64.48 | 55.87 | 5.15 | — | — | — | — | — | — | — | — | — | |
| HTCMS=false2022.12 | 63.4 | 77.8 | 73.67 | 51.4 | 63.99 | 51.54 | 73.31 | 80.31 | 90.48 | 75.12 | 67.34 | 48.51 | 70.63 | 55.87 | 64.48 | 64.84 | 5.15 | — | — | — | — | — | — | — | — | — | |
| HTCScale=single-scale2024.03 | 63.4 | 77.8 | 73.67 | 51.4 | 63.99 | 51.54 | 73.31 | 80.31 | 90.48 | 75.12 | 67.34 | 48.51 | 70.63 | 64.84 | 64.48 | 55.87 | 5.15 | — | — | — | — | — | — | — | — | — | |
| Mask R-CNNmulti-scale=false2021.03 | 62.67 | 76.84 | 73.51 | 49.9 | 57.8 | 51.31 | 71.34 | 79.75 | 90.46 | 74.21 | 66.07 | 46.21 | 70.61 | 63.07 | 64.46 | 57.81 | 9.42 | — | — | — | — | — | — | — | — | — | |
| MASK RCNNMS=false2022.12 | 62.67 | 76.84 | 73.51 | 49.9 | 57.8 | 51.31 | 71.34 | 79.75 | 90.46 | 74.21 | 66.07 | 46.21 | 70.61 | 57.81 | 64.46 | 63.07 | 9.42 | — | — | — | — | — | — | — | — | — | |
| Mask R-CNNScale=single-scale2024.03 | 62.67 | 76.84 | 73.51 | 49.9 | 57.8 | 51.31 | 71.34 | 79.75 | 90.46 | 74.21 | 66.07 | 46.21 | 70.61 | 63.07 | 64.46 | 57.81 | 9.42 | — | — | — | — | — | — | — | — | — | |
| FR-Omulti-scale=false2021.03 | 62 | 71.89 | 74.47 | 44.45 | 59.87 | 51.28 | 68.98 | 79.37 | 90.78 | 77.38 | 67.5 | 47.75 | 69.72 | 61.22 | 65.28 | 60.47 | 1.54 | — | — | — | — | — | — | — | — | — | |
| FR-OBBMS=false2022.12 | 62 | 71.89 | 74.47 | 44.45 | 59.87 | 51.28 | 69.98 | 79.37 | 90.78 | 77.38 | 67.5 | 47.75 | 69.72 | 60.47 | 65.28 | 61.22 | 1.54 | — | — | — | — | — | — | — | — | — | |
| FR OBBBackbone=R502023.04 | 62 | — | — | — | — | 51.28 | — | 79.37 | — | — | 67.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FR-OScale=single-scale2024.03 | 62 | 71.89 | 74.47 | 44.45 | 59.87 | 51.28 | 68.98 | 79.37 | 90.78 | 77.38 | 67.5 | 47.75 | 69.72 | 61.22 | 65.28 | 60.47 | 1.54 | — | — | — | — | — | — | — | — | — | |
| FR-OScale=Single-scale2024.07 | 62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RetinaNet-Omulti-scale=false2021.03 | 59.16 | 71.43 | 77.64 | 42.12 | 64.65 | 44.53 | 56.79 | 73.31 | 90.84 | 76.02 | 59.96 | 46.95 | 69.24 | 59.65 | 64.52 | 48.06 | 0.83 | — | — | — | — | — | — | — | — | — | |
| RetinaNet-OBBMS=false2022.12 | 59.16 | 71.43 | 77.64 | 42.12 | 64.65 | 44.53 | 56.79 | 73.31 | 90.84 | 76.02 | 59.96 | 46.95 | 69.24 | 48.06 | 64.52 | 59.65 | 0.83 | — | — | — | — | — | — | — | — | — | |
| RetinaNet-OBackbone=R502023.04 | 59.16 | — | — | — | — | 44.53 | — | 73.31 | — | — | 59.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RetinaNet-OScale=single-scale2024.03 | 59.16 | 71.43 | 77.64 | 42.12 | 64.65 | 44.53 | 56.79 | 73.31 | 90.84 | 76.02 | 59.96 | 46.95 | 69.24 | 59.65 | 64.52 | 48.06 | 0.83 | — | — | — | — | — | — | — | — | — | |
| RetinaNet-OScale=Single-scale2024.07 | 59.16 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AO2-DETRBackbone=R-502026.02 | — | 79.55 | — | 42.41 | 61.23 | 55.34 | 74.5 | 79.57 | — | 74.76 | 77.58 | 53.56 | 66.91 | 69.64 | 73.11 | 58.56 | 24.71 | 66.26 | — | — | — | — | — | — | 78.14 | 90.64 | |
| AO2-DETRBackbone=R-50, single-scale training and testing=true2023.05 | — | 79.55 | 78.14 | 42.41 | 61.23 | 55.34 | 74.5 | 79.57 | 90.64 | 74.76 | 77.58 | 53.56 | 66.91 | 58.56 | 73.11 | 69.64 | 24.71 | 66.26 | — | — | — | — | — | — | — | — | |
| CSLBaseline=RetinaNet2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 61.42 | — | — | — | — | — | — | — | — | |
| DCFLBackbone=R-50, single-scale training and testing=true2023.05 | — | — | — | — | — | 56.72 | — | 80.87 | — | — | 75.65 | — | — | — | — | — | — | 67.37 | — | — | — | — | — | — | — | — | |
| DCFLBackbone=ReR-101, single-scale training and testing=true2023.05 | — | — | — | — | — | 52.38 | — | 86.6 | — | — | 76.55 | — | — | — | — | — | — | 70.24 | — | — | — | — | — | — | — | — | |
| DCLBackbone=R-502026.02 | — | 80.34 | — | 44.21 | 62.01 | 50.24 | 72.15 | 78.86 | — | 74.04 | 67.04 | 45.46 | 69.06 | 55.14 | 64.06 | 56.17 | 9.27 | 61.98 | — | — | — | — | — | — | 74.39 | 89.28 | |
| DCL (BCL)Baseline=RetinaNet2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.91 | — | — | — | — | — | — | — | — | |
| DCL (BCL)Baseline=R3Det [29]2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 62.91 | — | — | — | — | — | — | — | — | |
| EMO2-DETRBackbone=R-502026.02 | — | 71.81 | — | 45.09 | 58.7 | 48.19 | 73.26 | 80.28 | — | 73.05 | 76.53 | 39.36 | 65.31 | 47.11 | 69.29 | 56.96 | 15.64 | 61.67 | — | — | — | — | — | — | 75.36 | 90.7 | |
| EMO2-DETRBackbone=R-50, single-scale training and testing=true2023.05 | — | 71.81 | 75.36 | 45.09 | 58.7 | 48.19 | 73.26 | 80.28 | 90.7 | 73.05 | 76.53 | 39.36 | 65.31 | 56.96 | 69.29 | 47.11 | 15.64 | 61.67 | — | — | — | — | — | — | — | — | |
| GWDBaseline=RetinaNet, Training Setting=Ablation2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.55 | — | — | — | — | — | — | — | — | |
| GWDBaseline=RetinaNet, Training Setting=Comparison2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 60.03 | — | — | — | — | — | — | — | — | |
| GWDBaseline=R3Det [29]2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 61.98 | — | — | — | — | — | — | — | — | |
| HTCBackbone=R-502026.02 | — | 77.8 | — | 51.4 | 63.99 | 51.54 | 73.31 | 80.31 | — | 75.12 | 67.34 | 48.51 | 70.63 | 55.87 | 64.48 | 64.84 | 5.15 | 63.4 | — | — | — | — | — | — | 73.67 | 90.48 | |
| HTCBackbone=R-50, single-scale training and testing=true2023.05 | — | 77.8 | 73.67 | 51.4 | 63.99 | 51.54 | 73.31 | 80.31 | 90.48 | 75.12 | 67.34 | 48.51 | 70.63 | 64.84 | 64.48 | 55.87 | 5.15 | 63.4 | — | — | — | — | — | — | — | — | |
| IGOFormerBackbone=R-502026.02 | — | 71.99 | — | 51.74 | 70.03 | 58.46 | 77.38 | 88.61 | — | 79.2 | 78.66 | 58.82 | 67.74 | 61.28 | 72.25 | 73.7 | 23.24 | 68.88 | — | — | — | — | — | — | 78.11 | 90.84 | |
| IoU-Smooth L1Baseline=RetinaNet2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 58.87 | — | — | — | — | — | — | — | — | |
| KLDBaseline=RetinaNet, Training Setting=Ablation2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.38 | — | — | — | — | — | — | — | — | |
| KLDBaseline=RetinaNet, Training Setting=Comparison2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 62.5 | — | — | — | — | — | — | — | — | |
| KLDBaseline=R3Det [29], Training Setting=Standard2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 63.22 | — | — | — | — | — | — | — | — | |
| KLDBaseline=R3Det [29], Training Setting=Advanced2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 65.18 | — | — | — | — | — | — | — | — | |
| KLDBackbone=R-502026.02 | — | 79.46 | — | 41.98 | 65.28 | 50.43 | 69.91 | 82.09 | — | 74.68 | 58.89 | 51.57 | 66.11 | 53.33 | 64.04 | 64.07 | 11.24 | 62.5 | — | — | — | — | — | — | 76.49 | 90.35 | |
| Mask R-CNNBackbone=R-50, single-scale training and testing=true2023.05 | — | 76.84 | 73.51 | 49.9 | 57.8 | 51.31 | 71.34 | 79.75 | 90.46 | 74.21 | 66.07 | 46.21 | 70.61 | 63.07 | 64.46 | 57.81 | 9.42 | 62.67 | — | — | — | — | — | — | — | — | |
| Mask RCNNBackbone=R-502026.02 | — | 76.84 | — | 49.9 | 57.8 | 51.31 | 71.34 | 79.75 | — | 74.21 | 66.07 | 46.21 | 70.61 | 57.81 | 64.46 | 63.07 | 9.42 | 62.67 | — | — | — | — | — | — | 73.51 | 90.46 | |
| MCLAlgorithm Type=Semi-Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 25.9 | 33.9 | 33.2 | 40.2 | 38.2 | 42.9 | — | — | |
| Modulated LossBaseline=RetinaNet, Box Definition=D_oc2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 56.1 | — | — | — | — | — | — | — | — | |
| Modulated LossBaseline=RetinaNet, Box Definition=Quad2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 59.16 | — | — | — | — | — | — | — | — | |
| Oriented R-CNN w/Backbone=PKINet-S, single-scale training and testing=true2023.05 | — | 80.31 | 85 | 55.61 | 74.38 | 52.41 | 76.85 | 88.38 | 90.87 | 79.04 | 68.78 | 67.47 | 72.45 | 76.24 | 74.53 | 64.07 | 37.13 | 71.47 | — | — | — | — | — | — | — | — | |
| PWOODAlgorithm Type=Semi-Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 33.9 | 38.1 | 40.9 | 45.9 | 45.1 | 49.2 | — | — | |
| R3DetBackbone=R-502026.02 | — | 80.22 | — | 42.36 | 65.21 | 50.22 | 70.48 | 79.58 | — | 75.08 | 66.27 | 54.11 | 69.28 | 57.31 | 66.13 | 55.37 | 9.94 | 62.91 | — | — | — | — | — | — | 75.55 | 89.51 | |
| ReDetBackbone=ReR-502026.02 | — | 79.2 | — | 51.92 | 71.41 | 52.38 | 75.73 | 80.92 | — | 75.81 | 68.64 | 49.29 | 72.03 | 63.33 | 70.55 | 73.36 | 11.53 | 66.86 | — | — | — | — | — | — | 82.81 | 90.83 | |
| ReDetBackbone=ReR-50, single-scale training and testing=true2023.05 | — | 79.2 | 82.81 | 51.92 | 71.41 | 52.38 | 75.73 | 80.92 | 90.83 | 75.81 | 68.64 | 49.29 | 72.03 | 73.36 | 70.55 | 63.33 | 11.53 | 66.86 | — | — | — | — | — | — | — | — | |
| RHINOBackbone=R-50, single-scale training and testing=true2023.05 | — | 77.96 | 83.22 | 55.3 | 72.14 | 65.07 | 78.95 | 89.22 | 90.78 | 80.9 | 83.48 | 61.58 | 74.17 | 77.21 | 71.99 | 60.16 | 29.26 | 71.96 | — | — | — | — | — | — | — | — | |
| RHINOBackbone=Swin-T, single-scale training and testing=true2023.05 | — | 79.96 | 85.16 | 56.96 | 74.5 | 64.14 | 81.91 | 89.42 | 90.6 | 83.93 | 82.89 | 59.93 | 74.84 | 77.23 | 75.18 | 64.91 | 33.76 | 73.46 | — | — | — | — | — | — | — | — | |
| RILBaseline=RetinaNet2021.06 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 57.75 | — | — | — | — | — | — | — | — | |
| Rotated Faster RCNNBackbone=R-502026.02 | — | 71.89 | — | 44.45 | 59.87 | 51.28 | 68.98 | 79.37 | — | 77.38 | 67.5 | 47.75 | 69.72 | 60.47 | 65.28 | 61.22 | 1.54 | 62 | — | — | — | — | — | — | 77.64 | 90.78 | |
| RSSTAlgorithm Type=Sparsely Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37.1 | 40.8 | 42.3 | 46.9 | 45.3 | 48 | — | — | |
| RSST*Algorithm Type=Sparsely Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 36.2 | 35.8 | 42.3 | 46 | 45.7 | 49.8 | — | — | |
| S²TeacherAlgorithm Type=Sparsely Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 33.8 | 37.2 | 41.1 | 45.7 | 45.7 | 46.2 | — | — | |
| SPWOODAlgorithm Type=Sparse Partial Weakly-Supervised, Supervision Protocol=RBox supervised2026.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 43.2 | 47.9 | 49 | 52.1 | 51.3 | 53.1 | — | — |