Object Detection on UCAS-AOD (test)
96.95mAPSCRDet++
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SCRDet++Base Detector=R3Det2020.04 | 96.95 | 98.93 | 94.97 | — | — | — | — | — | — | — | — | |
| RSDet2019.11 | 96.5 | 98.04 | 94.97 | — | — | — | — | — | — | — | — | |
| R3Det2019.11 | 96.17 | 98.2 | 94.14 | — | — | — | — | — | — | — | — | |
| R3Det2020.04 | 96.17 | 98.2 | 94.14 | — | — | — | — | — | — | — | — | |
| FADet2019.11 | 95.71 | 98.69 | 92.72 | — | — | — | — | — | — | — | — | |
| FADet2020.04 | 95.71 | 98.69 | 92.72 | — | — | — | — | — | — | — | — | |
| ICNtrain data=UCAS-AOD2018.07 | 95.67 | — | — | — | — | — | — | — | — | — | — | |
| ICN2019.11 | 95.67 | — | — | — | — | — | — | — | — | — | — | |
| ICN2020.04 | 95.67 | — | — | — | — | — | — | — | — | — | — | |
| RetinaNet-H2019.11 | 95.47 | 97.34 | 93.6 | — | — | — | — | — | — | — | — | |
| RetinaNet-H2020.04 | 95.47 | 97.34 | 93.6 | — | — | — | — | — | — | — | — | |
| S2ARN2019.11 | 94.9 | 97.6 | 92.2 | — | — | — | — | — | — | — | — | |
| S2ARN2020.04 | 94.9 | 97.6 | 92.2 | — | — | — | — | — | — | — | — | |
| RMK RetinaNet2026.03 | 91.735 | 97.01 | 86.46 | — | — | — | — | — | — | — | — | |
| Rotation RetinaNet2026.03 | 91.495 | 96.12 | 86.87 | — | — | — | — | — | — | — | — | |
| Oriented RepPoints2021.05 | 90.11 | 90.7 | 89.51 | — | — | — | — | — | — | — | — | |
| DRBox2019.11 | 89.95 | 94.9 | 85 | — | — | — | — | — | — | — | — | |
| DRBox2020.04 | 89.95 | 94.9 | 85 | — | — | — | — | — | — | — | — | |
| DRBox2026.03 | 89.95 | 94.9 | 85 | — | — | — | — | — | — | — | — | |
| DAL2021.05 | 89.87 | 90.49 | 89.25 | — | — | — | — | — | — | — | — | |
| Xia et al.train data=UCAS-AOD2018.07 | 89.41 | — | — | — | — | — | — | — | — | — | — | |
| R-DFPN2019.11 | 89.2 | 95.9 | 82.5 | — | — | — | — | — | — | — | — | |
| R-DFPN2020.04 | 89.2 | 95.9 | 82.5 | — | — | — | — | — | — | — | — | |
| R-DFPN2026.03 | 89.2 | 95.9 | 82.5 | — | — | — | — | — | — | — | — | |
| RoI Trans.2021.05 | 88.95 | 89.9 | 87.99 | — | — | — | — | — | — | — | — | |
| Faster R-CNN-O2021.05 | 88.36 | 89.86 | 86.87 | — | — | — | — | — | — | — | — | |
| YOLOv22019.11 | 87.9 | 96.6 | 79.2 | — | — | — | — | — | — | — | — | |
| YOLOv22020.04 | 87.9 | 96.6 | 79.2 | — | — | — | — | — | — | — | — | |
| YOLOv22026.03 | 87.9 | 96.6 | 79.2 | — | — | — | — | — | — | — | — | |
| RetinaNet-O2021.05 | 87.57 | 90.51 | 84.64 | — | — | — | — | — | — | — | — | |
| ICNtrain data=DOTA2018.07 | 86.13 | — | — | — | — | — | — | — | — | — | — | |
| YOLOv3-O2021.05 | 82.08 | 89.52 | 74.63 | — | — | — | — | — | — | — | — | |
| LEVIRDetNetEvaluation Protocol=direct-transfer2026.06 | 80.4 | — | — | — | — | — | — | — | — | 98.63 | 90.62 | |
| DEIMv2Backbone=DINOv3 + ViT-Base, Evaluation Protocol=target-supervised2026.06 | 75.38 | — | — | — | — | — | — | — | — | 96.14 | 87.4 | |
| YOLOv12xEvaluation Protocol=target-supervised2026.06 | 74.67 | — | — | — | — | — | — | — | — | 94.34 | 86.31 | |
| RTMDetEvaluation Protocol=target-supervised2026.06 | 74.32 | — | — | — | — | — | — | — | — | 94.4 | 84.94 | |
| Sparse R-CNNEvaluation Protocol=target-supervised2026.06 | 73.67 | — | — | — | — | — | — | — | — | 88.91 | 86.98 | |
| DynamicVis-largeEvaluation Protocol=target-supervised2026.06 | 69.9 | — | — | — | — | — | — | — | — | 93.6 | 82 | |
| DEIMEvaluation Protocol=target-supervised2026.06 | 69.37 | — | — | — | — | — | — | — | — | 92.08 | 81.05 | |
| HrNetEvaluation Protocol=target-supervised2026.06 | 69.32 | — | — | — | — | — | — | — | — | 89.55 | 81.43 | |
| DynamicVis-baseEvaluation Protocol=target-supervised2026.06 | 69.3 | — | — | — | — | — | — | — | — | 93.6 | 80.8 | |
| YOLOXEvaluation Protocol=target-supervised2026.06 | 68.86 | — | — | — | — | — | — | — | — | 93.27 | 80.68 | |
| Fast R-CNNEvaluation Protocol=target-supervised2026.06 | 68.08 | — | — | — | — | — | — | — | — | 90.68 | 80.66 | |
| Faster R-CNNEvaluation Protocol=target-supervised2026.06 | 67.71 | — | — | — | — | — | — | — | — | 87.48 | 80.02 | |
| DINOEvaluation Protocol=target-supervised2026.06 | 66.71 | — | — | — | — | — | — | — | — | 89.8 | 78.04 | |
| EfficientDetEvaluation Protocol=target-supervised2026.06 | 64.88 | — | — | — | — | — | — | — | — | 91.58 | 75.95 | |
| RetinaNetEvaluation Protocol=target-supervised2026.06 | 64.88 | — | — | — | — | — | — | — | — | 91.58 | 75.95 | |
| TridentNetEvaluation Protocol=target-supervised2026.06 | 61.5 | — | — | — | — | — | — | — | — | 89.12 | 72.32 | |
| Deformable DETREvaluation Protocol=target-supervised2026.06 | 60.87 | — | — | — | — | — | — | — | — | 88.78 | 71.84 | |
| SSDEvaluation Protocol=target-supervised2026.06 | 58.23 | — | — | — | — | — | — | — | — | 89.62 | 67.64 | |
| DEIMv2Backbone=DINOv3 + CNN, Evaluation Protocol=target-supervised2026.06 | 54.08 | — | — | — | — | — | — | — | — | 85.46 | 61.3 | |
| YOLOv3Evaluation Protocol=target-supervised2026.06 | 51.04 | — | — | — | — | — | — | — | — | 86.27 | 53.96 | |
| CenterNetEvaluation Protocol=target-supervised2026.06 | 41.47 | — | — | — | — | — | — | — | — | 81.36 | 41.56 | |
| YOLOFEvaluation Protocol=target-supervised2026.06 | 37.29 | — | — | — | — | — | — | — | — | 74.16 | 34.54 | |
| FCOSEvaluation Protocol=target-supervised2026.06 | 37 | — | — | — | — | — | — | — | — | 86.64 | 18.89 | |
| RetinaNet-BCLBackbone=ResNet101, Data Augmentation=true, Multi-scale training and testing=true2020.11 | — | — | — | 88.15 | 92.35 | 90.57 | 97.86 | 89.36 | 95.1 | — | — | |
| RetinaNet-CSLBackbone=ResNet101, Data Augmentation=true, Multi-scale training and testing=true2020.11 | — | — | — | 88.09 | 92.93 | 90.38 | 97.22 | 89.23 | 95.07 | — | — | |
| RetinaNet-RegBackbone=ResNet101, Data Augmentation=true, Multi-scale training and testing=true2020.11 | — | — | — | 87.28 | 90.79 | 90.42 | 97.52 | 88.85 | 94.16 | — | — |