Object Detection on NWPU VHR (10-Split)
83.6APSDCoNet
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SDCoNetType=Remote Sensing Object Detectors, Backbone=Swin-T2026.01 | 83.6 | 99.1 | 95.4 | 64.9 | 81.6 | 89 | — | — | — | — | |
| DINOType=General Object Detectors, Backbone=ResNet502026.01 | 79.3 | 98 | 93.3 | 53.4 | 76.9 | 83.2 | — | — | — | — | |
| LEGNet-T (Faster RCNN)Type=Remote Sensing Object Detectors, Backbone=LEGNet-T2026.01 | 78.8 | 97.9 | 92.1 | 44.9 | 76.9 | 84.1 | — | — | — | — | |
| YOLOX-sType=General Object Detectors, Backbone=CSPDarknet2026.01 | 76.6 | 96.4 | 89.2 | 45 | 75 | 80.2 | — | — | — | — | |
| DINO (Baseline)Type=General Object Detectors, Backbone=Swin-T2026.01 | 76.6 | 98.6 | 91.1 | 48.7 | 74.4 | 83 | — | — | — | — | |
| EESRGANType=Remote Sensing Object Detectors, Backbone=ResNet502026.01 | 74.9 | 97.1 | 89.1 | 44.8 | 72.4 | 80.2 | — | — | — | — | |
| SR4IRType=General Object Detectors, Backbone=MobileNet-V32026.01 | 74.3 | 96.7 | 87.8 | 30.8 | 72.5 | 84.4 | — | — | — | — | |
| Faster RCNNType=General Object Detectors, Backbone=ResNet502026.01 | 72.9 | 96.4 | 88.5 | 32.6 | 71.7 | 79.5 | — | — | — | — | |
| SuperYOLO (RGB)Type=Remote Sensing Object Detectors, Backbone=CSPDarknet2026.01 | 70 | 86.8 | 82.5 | 55.4 | 70.4 | 77.3 | — | — | — | — | |
| FFCA-YOLOType=Remote Sensing Object Detectors, Backbone=CSPDarknet2026.01 | 68.9 | 94.6 | 83.6 | 42.7 | 68.8 | 77.8 | — | — | — | — | |
| DN-DETRType=General Object Detectors, Backbone=ResNet502026.01 | 68.1 | 93.6 | 78.2 | 29.9 | 65.2 | 80 | — | — | — | — | |
| FSANetType=Remote Sensing Object Detectors, Backbone=Swin-T2026.01 | 67.1 | 95.6 | 79.1 | 30.6 | 64.9 | 75.4 | — | — | — | — | |
| DAB-DETRType=General Object Detectors, Backbone=ResNet502026.01 | 65.6 | 93.5 | 75.6 | 34.2 | 60.9 | 79.1 | — | — | — | — | |
| Cascade R-CNNType=General Object Detectors, Backbone=ResNet502026.01 | 62.7 | 91 | 73.8 | 15.9 | 60.1 | 69.6 | — | — | — | — | |
| RetinaNetType=General Object Detectors, Backbone=ResNet502026.01 | 61 | 89.9 | 70.5 | 17.3 | 56.3 | 74.5 | — | — | — | — | |
| HMR-Net2026.04 | 56.86 | 82.54 | 61.24 | 48.57 | 64.43 | 78.71 | — | — | — | 65.39 | |
| ORFENet2026.04 | 56.1 | 81.45 | 60.71 | 48.36 | 63.56 | 77.31 | — | — | — | 64.58 | |
| LSKNet2026.04 | 55.74 | 81.61 | 60.45 | 47.93 | 63.42 | 78.02 | — | — | — | 64.53 | |
| MoCaE2026.04 | 55.21 | 81.19 | 60.28 | 47.12 | 62.95 | 77.4 | — | — | — | 64.03 | |
| AFD2026.04 | 53.08 | 79.6 | 57.06 | 43.24 | 60.84 | 76.08 | — | — | — | 61.65 | |
| DAMEX2026.04 | 52.16 | 78.26 | 55.12 | 40.97 | 57.2 | 74.11 | — | — | — | 59.64 | |
| RTMDet2026.04 | 51.02 | 77.35 | 54.92 | 39.6 | 58.34 | 74.08 | — | — | — | 59.22 | |
| H2RBox2026.04 | 50.89 | 76.7 | 53.64 | 41.22 | 58.92 | 74.59 | — | — | — | 59.33 | |
| CR-CNN2026.04 | 49.37 | 75.88 | 50.46 | 36.41 | 56.1 | 73.42 | — | — | — | 56.94 | |
| Me R-CNN2026.04 | 49.28 | 75.93 | 50.34 | 36.29 | 55.97 | 73.4 | — | — | — | 56.87 | |
| FR-CNN2026.04 | 48.24 | 74.92 | 49.08 | 35.26 | 54.77 | 72.25 | — | — | — | 55.76 | |
| Sparse R-CNNType=General Object Detectors, Backbone=ResNet502026.01 | 38.1 | 67.8 | 35.6 | 2.5 | 31.6 | 61.7 | — | — | — | — | |
| Deformable-DETRType=General Object Detectors, Backbone=Swin-T2026.01 | 34.5 | 62 | 34.4 | 4.8 | 29.6 | 46.4 | — | — | — | — | |
| BoxInst2025.03 | — | — | — | — | — | — | 64.8 | 89.3 | 73 | — | |
| CATNet2025.03 | — | — | — | — | — | — | 63.2 | 89 | 73.8 | — | |
| CondInst2025.03 | — | — | — | — | — | — | 62.3 | 87.8 | 73.3 | — | |
| DynamicVis-BBackbone=Base2025.03 | — | — | — | — | — | — | 68.5 | 90.8 | 79.6 | — | |
| DynamicVis-B†Backbone=Base2025.03 | — | — | — | — | — | — | 63.7 | 88.2 | 71.2 | — | |
| DynamicVis-B‡Backbone=Base2025.03 | — | — | — | — | — | — | 65 | 89.9 | 71.9 | — | |
| DynamicVis-LBackbone=Large2025.03 | — | — | — | — | — | — | 69.1 | 93.1 | 80.8 | — | |
| DynamicVis-L†Backbone=Large2025.03 | — | — | — | — | — | — | 64.4 | 89.6 | 75.9 | — | |
| DynamicVis-L‡Backbone=Large2025.03 | — | — | — | — | — | — | 64.9 | 89.8 | 75.5 | — | |
| HQ-ISNet2025.03 | — | — | — | — | — | — | 63.5 | 89.9 | 75 | — | |
| HTC2025.03 | — | — | — | — | — | — | 63.9 | 88.9 | 75.4 | — | |
| Mask R-CNN2025.03 | — | — | — | — | — | — | 62.3 | 88.3 | 75.2 | — | |
| Mask2Former2025.03 | — | — | — | — | — | — | 57.4 | 75.5 | 63.7 | — | |
| MS R-CNN2025.03 | — | — | — | — | — | — | 62.3 | 88.6 | 73.1 | — | |
| RSPrompter-anchor2025.03 | — | — | — | — | — | — | 70.3 | 93.6 | 81 | — | |
| RSPrompter-query2025.03 | — | — | — | — | — | — | 68.4 | 90.3 | 74 | — | |
| SCNet2025.03 | — | — | — | — | — | — | 60 | 87.5 | 69.1 | — |