Semantic Segmentation on SAR Road Extraction Dataset (test) benchmark leaderboard · SOTA2 Research

Semantic Segmentation on SAR Road Extraction Dataset (test)

77.76PrecisionUPerNet

Evaluation Results

Method	Links
UPerNet2025.11		77.76	71.7	74.6	59.5
UPerNet2025.11		77.28	69.23	73.03	57.52
PSPNet2025.11		75.95	64.93	70.01	53.86
UPerNet2025.11		75.78	70.54	73.07	57.56
UPerNet2025.11		74.83	72.9	73.85	58.54
UPerNet2025.11		74.82	68.32	71.42	55.55
UNet2025.11		74.14	66.16	69.92	53.75
FCN2025.11		73.27	70.07	71.63	55.8
UPerNet2025.11		71.78	67.45	69.55	53.31
DANet2025.11		70.81	72.74	71.76	55.96
UPerNet2025.11		70.34	60.16	64.85	48
FarSeg2025.11		70.29	69.06	69.67	53.46
DeepLabV3+2025.11		70.27	72.66	71.44	55.57