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Semantic Segmentation on SAR land-cover mapping dataset (test)

70.18F1 Score (water)UPerNet
61.381663.665865.9568.2342Nov 11, 2025

Evaluation results

MethodLinks
UPerNetBackbone=DI3CL-ResNet1012025.1170.1851.3283.4793.3388.6843.9973.9673.8469.5132.5258.67
UPerNetBackbone=DI3CL-ResNet502025.1169.5450.8883.3893.3988.7640.9673.7473.5570.2835.8358.59
UPerNetBackbone=RSP-ResNet502025.1166.6242.8481.8292.4487.1735.0772.7972.1865.0520.6854.93
UPerNetBackbone=SMLFR+ConvNeXt-B2025.1166.5545.3282.2692.4387.0940.8973.0673.0367.3137.6956.95
DANetBackbone=IMP-ResNet502025.1165.9839.8581.9892.5687.6134.8172.0971.8466.2838.1155.8
PSPNetBackbone=IMP-ResNet502025.1165.4640.5381.5792.3385.935.4872.3273.5664.3823.1554.59
UNetBackbone=-2025.1165.3635.1981.9491.8885.930.4871.9970.6457.842.4851.84
UPerNetBackbone=SeCo-ResNet502025.1164.8643.8182.0292.4787.9236.2171.8171.9366.0924.8655.24
UPerNetBackbone=IMP-ResNet502025.1164.7745.981.7692.2687.6438.0472.1371.9664.9920.8655.11
FCNBackbone=IMP-ResNet502025.1164.6941.0181.5391.8686.5234.2971.8770.9361.826.5354.09
DeepLabV3+Backbone=IMP-ResNet502025.1163.9743.4781.6292.4587.6131.8771.571.8565.3122.8454.49
UPerNetBackbone=SARATR-X+HiViT-B2025.1163.1245.1281.8592.1887.4534.2972.4670.4765.6931.5155.18
FarSegBackbone=IMP-ResNet502025.1162.9940.1681.192.1987.3635.6671.8170.4264.2317.4653.72
UPerNetBackbone=SAR-JEPA+ViT-B2025.1161.7233.7278.8890.685.1921.7968.3468.7358.7122.450.67