Object Detection on SARDet-100K (test)
63.3MAPBabelRS
Evaluation Results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BabelRSOptimization Stage=Pretraining stage optimization2026.03 | 63.3 | 91.7 | — | — | — | — | — | — | — | — | — | — | |
| SM3DetOptimization Stage=Fine-tuning stage optimization2026.03 | 60.64 | 89.94 | — | — | — | — | — | — | — | — | — | — | |
| DenoDetPre.=IN, FLOPs=52.69G, #Params=65.78M2024.06 | 55.88 | 85.81 | 60.16 | 50.63 | 68.47 | 60.96 | 64.91 | 57.36 | 63.66 | 45.79 | 36.39 | 67.17 | |
| GFLPre.=IN, FLOPs=52.36G, #Params=32.27M2024.06 | 55.01 | 85.16 | 58.87 | 49.44 | 67.29 | 60.45 | 63.92 | 57.63 | 62.29 | 44.8 | 36.41 | 65.04 | |
| ATSSPre.=IN, FLOPs=51.57G, #Params=32.13M2024.06 | 54.95 | 87.6 | 58.25 | 49.89 | 67.94 | 58.97 | 61.53 | 55.94 | 61.77 | 46.2 | 37.22 | 67.48 | |
| TOODPre.=IN, FLOPs=50.52G, #Params=30.03M2024.06 | 54.65 | 86.88 | 58.41 | 50.2 | 66.72 | 58.6 | 62.28 | 55.61 | 62.53 | 45.96 | 36.64 | 65.24 | |
| DDODPre.=IN, FLOPs=45.58G, #Params=32.21M2024.06 | 54.02 | 86.64 | 57.23 | 49.33 | 64.7 | 58.02 | 62.39 | 56.08 | 62.48 | 43.98 | 36.34 | 62.87 | |
| AutoAssignPre.=IN, FLOPs=51.83G, #Params=36.26M2024.06 | 53.95 | 89.58 | 55.96 | 50.14 | 63.4 | 54.73 | 62.03 | 55.7 | 61.69 | 48.55 | 38.25 | 57.45 | |
| CenterNetPre.=IN, FLOPs=51.55G, #Params=32.12M2024.06 | 53.91 | 86.17 | 57.31 | 48.88 | 66.22 | 57.74 | 61.24 | 56.35 | 61.74 | 45.31 | 35.91 | 63.29 | |
| ConvNeXtV2Pre.=IN, FLOPs=0.12T, #Params=0.11G2024.06 | 53.91 | 86.01 | 58.9 | 47.63 | 64.67 | 59.57 | 61.48 | 55.83 | 63.23 | 39.65 | 39.16 | 64.09 | |
| DAOptimization Stage=Fine-tuning stage optimization2026.03 | 53.86 | 84.93 | — | — | — | — | — | — | — | — | — | — | |
| UniDetOptimization Stage=Fine-tuning stage optimization2026.03 | 53.81 | 84.7 | — | — | — | — | — | — | — | — | — | — | |
| Cascade R-CNNPre.=IN, FLOPs=90.99G, #Params=69.17M2024.06 | 53.55 | 87.33 | 56.81 | 49.09 | 62.89 | 48.68 | 66.99 | 56.43 | 63.25 | 44.35 | 36.89 | 53.81 | |
| Simple Joint TrainingOptimization Stage=Fine-tuning stage optimization2026.03 | 53.46 | 84.11 | — | — | — | — | — | — | — | — | — | — | |
| Uncertainty lossOptimization Stage=Fine-tuning stage optimization2026.03 | 53.43 | 84.81 | — | — | — | — | — | — | — | — | — | — | |
| ConvNeXtPre.=IN, FLOPs=63.84G, #Params=45.07M2024.06 | 53.15 | 85.52 | 57.28 | 45.67 | 64.55 | 58.61 | 60.55 | 57.35 | 62.13 | 38.12 | 36.81 | 63.95 | |
| VFNetPre.=IN, FLOPs=48.38G, #Params=32.72M2024.06 | 53.01 | 84.32 | 56.32 | 47.37 | 65.39 | 57.99 | 62.14 | 55.84 | 61.97 | 42.08 | 34.11 | 62.28 | |
| FCOSPre.=IN, FLOPs=51.57G, #Params=32.13M2024.06 | 52.52 | 85.82 | 54.93 | 47.01 | 66.13 | 57.82 | 59.79 | 55.44 | 60.75 | 41.78 | 34.17 | 63.44 | |
| LSKNetPre.=IN, FLOPs=53.73G, #Params=30.99M2024.06 | 52.39 | 85.07 | 56.96 | 45.15 | 63.59 | 59.16 | 59.33 | 56.76 | 62.74 | 36.09 | 35.01 | 64.38 | |
| PAAPre.=IN, FLOPs=51.57G, #Params=32.13M2024.06 | 52.2 | 85.71 | 54.8 | 46 | 63.9 | 57.61 | 60.16 | 56.17 | 60.09 | 41.07 | 35.96 | 60.12 | |
| Libra R-CNNPre.=IN, FLOPs=64.02G, #Params=41.64M2024.06 | 52.09 | 83.54 | 55.81 | 45.85 | 63.52 | 55.4 | 61.32 | 54.03 | 61.56 | 38.12 | 35.97 | 61.5 | |
| Deformable DETRPre.=IN, FLOPs=51.78G, #Params=40.10M2024.06 | 52 | 88.77 | 54.03 | 46.99 | 63.58 | 58.55 | 60.94 | 54.16 | 61.22 | 39.14 | 36.09 | 60.46 | |
| RepPointsPre.=IN, FLOPs=48.49G, #Params=36.82M2024.06 | 51.66 | 86.43 | 53.99 | 46.66 | 63.26 | 53.78 | 60.85 | 55.5 | 61.13 | 40.69 | 35.12 | 56.71 | |
| Grid R-CNNPre.=IN, FLOPs=0.18T, #Params=64.47M2024.06 | 50.05 | 80.58 | 53.49 | 42.43 | 62.01 | 52.7 | 60.43 | 55.61 | 61.94 | 36.03 | 31.16 | 55.13 | |
| Dynamic R-CNNPre.=IN, FLOPs=63.2G, #Params=41.37M2024.06 | 49.75 | 80.96 | 53.91 | 43.12 | 59.72 | 54.77 | 61.32 | 53.86 | 60 | 33.68 | 34.4 | 55.25 | |
| RetinaNetPre.=IN, FLOPs=52.77G, #Params=36.43M2024.06 | 46.48 | 77.74 | 48.94 | 40.25 | 59.35 | 50.26 | 55.36 | 54 | 60.88 | 32.72 | 24.81 | 51.12 | |
| PVT-TPre.=IN, FLOPs=42.19G, #Params=21.43M2024.06 | 46.1 | 77.55 | 49 | 38.01 | 59.53 | 53.35 | 53.3 | 52.91 | 59.03 | 30.2 | 22.51 | 59.11 | |
| DETRPre.=IN, FLOPs=24.94G, #Params=41.56M2024.06 | 45.73 | 78.57 | 46.87 | 37.01 | 58.16 | 55.58 | 54.94 | 51.17 | 50.11 | 26.06 | 32.8 | 59.31 | |
| Conditional DETRPre.=IN, FLOPs=28.09G, #Params=43.45M2024.06 | 44.04 | 77.88 | 44.4 | 35.25 | 56.47 | 52.86 | 52.77 | 49.58 | 51 | 22.73 | 29.98 | 58.16 | |
| DAB-DETRPre.=IN, FLOPs=28.94G, #Params=43.70M2024.06 | 43.31 | 78.14 | 43.1 | 34.82 | 56.34 | 52.62 | 53.16 | 50.32 | 49.47 | 24.06 | 28.47 | 55.07 | |
| YOLOFPre.=IN, FLOPs=26.32G, #Params=42.46M2024.06 | 42.83 | 74.95 | 43.18 | 33.73 | 56.19 | 53.57 | 52.62 | 52.64 | 52.71 | 22.86 | 23.74 | 52.42 | |
| Faster R-CNNPre.=IN, FLOPs=63.2G, #Params=41.37M2024.06 | 39.22 | 70.04 | 39.87 | 32.55 | 47.23 | 42.02 | 50.45 | 50.36 | 57.82 | 24.9 | 18.69 | 33.11 | |
| YOLOXPre.=IN, FLOPs=8.53G, #Params=8.94M2024.06 | 34.08 | 66.77 | 31.31 | 28.49 | 43.06 | 28.95 | 46.08 | 46.83 | 53.43 | 26.26 | 13.14 | 18.95 |