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Image Classification on CIFAR-10 40% uniform noise (test)

90.2AccuracyFSR
6.656828.345950.03571.7241Mar 18, 2026

Evaluation results

MethodLinks
FSRStructure=ResNet-322026.0390.2
FasTENStructure=ResNet-342026.0390.07
ELRStructure=ResNet-342026.0388.87
EMLCStructure=ResNet-342026.0388.54
VRIStructure=ResNet-182026.0387.68
MSLCStructure=ResNet-342026.0387.25
SOPStructure=ResNet-342026.0386.78
FaMUSStructure=ResNet-182026.0385.8
rSDNetβ=0.05, λ=-12026.0353.85
rSDNetβ=0.05, λ=-0.82026.0352.69
rSDNetβ=0.05, λ=-0.72026.0351.19
rSDNetβ=0.1, λ=-12026.0351.03
rSDNetβ=0.1, λ=-0.82026.0349.41
TCCEparameter=0.32026.0348.96
rSDNetβ=0.1, λ=-0.72026.0347.21
GCEq=0.52026.0346.8
GCEq=0.72026.0346.78
TCCEparameter=0.22026.0346.65
rSDNetβ=0, λ=-0.72026.0346.53
rSDNetβ=0, λ=-0.52026.0346.32
FCLµ=0.52026.0345.39
rSDNetβ=0.05, λ=-0.52026.0344.03
rSDNetβ=0.1, λ=-0.52026.0342.84
TCCEparameter=0.12026.0342.43
rSDNetβ=0.3, λ=-0.72026.0341.4
rSDNetβ=0.3, λ=-0.82026.0340.58
rSDNetβ=0.3, λ=-12026.0340.24
rSDNetβ=0.3, λ=-0.52026.0339.71
rSDNetβ=0.5, λ=-0.52026.0339.34
rSDNetβ=0.5, λ=-0.82026.0339.2
rSDNetβ=0.5, λ=-0.72026.0339.2
FCLµ=0.752026.0339.04
SCEα=0.5, β=12026.0338.92
rSDNetβ=0.7, λ=-0.52026.0338.9
rSDNetβ=0.7, λ=-0.72026.0338.57
rSDNetβ=1, λ=02026.0338.53
rSDNetβ=0.7, λ=-0.82026.0338.42
rSDNetβ=0.5, λ=-12026.0338.38
rSDNetβ=0.7, λ=-12026.0338.34
rSDNetβ=0.7, λ=0.52026.0338.18
rSDNetβ=0.7, λ=02026.0337.98
rSDNetβ=0.5, λ=02026.0337.59
FCLµ=0.252026.0337.44
rSDNetβ=0.1, λ=02026.0337.19
rSDNetβ=0.5, λ=0.52026.0337.03
rSDNetβ=0.3, λ=02026.0337.01
CCE2026.0336.96
rKLD2026.0334.01
rSDNetβ=0, λ=-0.82026.0332.72
FCLµ=02026.0310
MAE2026.039.87