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Semantic Segmentation on FMB 1.0 (test)

29.7Unl IoUDIFF-MF
18.67621.53824.427.262Jan 9, 2026

Evaluation results

MethodLinks
DIFF-MFsegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0129.784.261.27876.771.183.191.952.774.691.390.390.599.340.874.4
EMMAsegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.012284.157.978.975.471.183.391.847.47590.589.99199.339.973.2
SwinFusionsegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0121.483.253.276.27570.582.791.550.873.389.788.890.799.336.572.2
CDDFusesegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0121.384.25476.174.770.683.19148.974.190.389.489.899.335.572.1
MambaDFusesegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0121.384.459.376.477.169.682.791.650.574.59188.790.999.338.573.1
FusionMambasegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0120.984.255.976.275.5708390.951.674.690.488.290.699.338.472.6
DIDFusesegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0120.784.659.674.977.471.182.789.65074.591.789.490.899.338.573
TarDALsegmentation network=DeeplabV3+, epochs=300, batch size=4, learning rate=7.0e-32026.0119.182.754.571.17668.282.690.251.672.590.987.890.299.330.771.2