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Object Detection on SARDet-100K (test)

63.3MAPBabelRS
32.911240.800648.6956.5794Jun 5, 2024Sep 18, 2024Jan 2, 2025Apr 18, 2025Aug 2, 2025Nov 16, 2025Mar 2, 2026

Evaluation results

MethodLinks
BabelRSOptimization Stage=Pretraining stage optimization2026.0363.391.7——————————
SM3DetOptimization Stage=Fine-tuning stage optimization2026.0360.6489.94——————————
DenoDetPre.=IN, FLOPs=52.69G, #Params=65.78M2024.0655.8885.8160.1650.6368.4760.9664.9157.3663.6645.7936.3967.17
GFLPre.=IN, FLOPs=52.36G, #Params=32.27M2024.0655.0185.1658.8749.4467.2960.4563.9257.6362.2944.836.4165.04
ATSSPre.=IN, FLOPs=51.57G, #Params=32.13M2024.0654.9587.658.2549.8967.9458.9761.5355.9461.7746.237.2267.48
TOODPre.=IN, FLOPs=50.52G, #Params=30.03M2024.0654.6586.8858.4150.266.7258.662.2855.6162.5345.9636.6465.24
DDODPre.=IN, FLOPs=45.58G, #Params=32.21M2024.0654.0286.6457.2349.3364.758.0262.3956.0862.4843.9836.3462.87
AutoAssignPre.=IN, FLOPs=51.83G, #Params=36.26M2024.0653.9589.5855.9650.1463.454.7362.0355.761.6948.5538.2557.45
CenterNetPre.=IN, FLOPs=51.55G, #Params=32.12M2024.0653.9186.1757.3148.8866.2257.7461.2456.3561.7445.3135.9163.29
ConvNeXtV2Pre.=IN, FLOPs=0.12T, #Params=0.11G2024.0653.9186.0158.947.6364.6759.5761.4855.8363.2339.6539.1664.09
DAOptimization Stage=Fine-tuning stage optimization2026.0353.8684.93——————————
UniDetOptimization Stage=Fine-tuning stage optimization2026.0353.8184.7——————————
Cascade R-CNNPre.=IN, FLOPs=90.99G, #Params=69.17M2024.0653.5587.3356.8149.0962.8948.6866.9956.4363.2544.3536.8953.81
Simple Joint TrainingOptimization Stage=Fine-tuning stage optimization2026.0353.4684.11——————————
Uncertainty lossOptimization Stage=Fine-tuning stage optimization2026.0353.4384.81——————————
ConvNeXtPre.=IN, FLOPs=63.84G, #Params=45.07M2024.0653.1585.5257.2845.6764.5558.6160.5557.3562.1338.1236.8163.95
VFNetPre.=IN, FLOPs=48.38G, #Params=32.72M2024.0653.0184.3256.3247.3765.3957.9962.1455.8461.9742.0834.1162.28
FCOSPre.=IN, FLOPs=51.57G, #Params=32.13M2024.0652.5285.8254.9347.0166.1357.8259.7955.4460.7541.7834.1763.44
LSKNetPre.=IN, FLOPs=53.73G, #Params=30.99M2024.0652.3985.0756.9645.1563.5959.1659.3356.7662.7436.0935.0164.38
PAAPre.=IN, FLOPs=51.57G, #Params=32.13M2024.0652.285.7154.84663.957.6160.1656.1760.0941.0735.9660.12
Libra R-CNNPre.=IN, FLOPs=64.02G, #Params=41.64M2024.0652.0983.5455.8145.8563.5255.461.3254.0361.5638.1235.9761.5
Deformable DETRPre.=IN, FLOPs=51.78G, #Params=40.10M2024.065288.7754.0346.9963.5858.5560.9454.1661.2239.1436.0960.46
RepPointsPre.=IN, FLOPs=48.49G, #Params=36.82M2024.0651.6686.4353.9946.6663.2653.7860.8555.561.1340.6935.1256.71
Grid R-CNNPre.=IN, FLOPs=0.18T, #Params=64.47M2024.0650.0580.5853.4942.4362.0152.760.4355.6161.9436.0331.1655.13
Dynamic R-CNNPre.=IN, FLOPs=63.2G, #Params=41.37M2024.0649.7580.9653.9143.1259.7254.7761.3253.866033.6834.455.25
RetinaNetPre.=IN, FLOPs=52.77G, #Params=36.43M2024.0646.4877.7448.9440.2559.3550.2655.365460.8832.7224.8151.12
PVT-TPre.=IN, FLOPs=42.19G, #Params=21.43M2024.0646.177.554938.0159.5353.3553.352.9159.0330.222.5159.11
DETRPre.=IN, FLOPs=24.94G, #Params=41.56M2024.0645.7378.5746.8737.0158.1655.5854.9451.1750.1126.0632.859.31
Conditional DETRPre.=IN, FLOPs=28.09G, #Params=43.45M2024.0644.0477.8844.435.2556.4752.8652.7749.585122.7329.9858.16
DAB-DETRPre.=IN, FLOPs=28.94G, #Params=43.70M2024.0643.3178.1443.134.8256.3452.6253.1650.3249.4724.0628.4755.07
YOLOFPre.=IN, FLOPs=26.32G, #Params=42.46M2024.0642.8374.9543.1833.7356.1953.5752.6252.6452.7122.8623.7452.42
Faster R-CNNPre.=IN, FLOPs=63.2G, #Params=41.37M2024.0639.2270.0439.8732.5547.2342.0250.4550.3657.8224.918.6933.11
YOLOXPre.=IN, FLOPs=8.53G, #Params=8.94M2024.0634.0866.7731.3128.4943.0628.9546.0846.8353.4326.2613.1418.95