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Fault intensity diagnosis on PUB

100Health AccuracyHKG+ViT-S
90.255292.785195.31597.8449Apr 8, 2026

Evaluation results

MethodLinks
HKG+ViT-SBackbones=Transformer, Image size=224^22026.0410098.2197.9210099.1198.7398.9298.39998.63
DHKBackbones=ViT-S, Image size=224^22026.0410099.1110010099.1198.7399.3598.799.4999.08
DHKBackbones=PerViT-B, Image size=224^22026.0410099.1110010099.1110099.5798.8199.799.24
TS-TCCBackbones=Transformer, Image size=224^22026.0498.9697.3295.8310097.3298.7397.8496.5698.0397.23
MIP-LCNetBackbones=AlexNet, Image size=256^22026.0497.9289.2995.8393.7594.6496.293.4891.6894.6192.96
ResNet-APReLUBackbones=ResNet18, Image size=256^22026.0497.9298.2191.6710096.4396.296.7695.0796.7495.78
RDRNBackbones=ResNet18, Image size=256^22026.0497.9296.4395.8310098.2194.9496.9894.3297.2295.57
LRSADTLMBackbones=Transformer, Image size=224^22026.0497.9297.3295.8310099.1196.297.6296.497.7397
SACLBackbones=Transformer, Image size=224^22026.0497.9298.2193.7510097.3297.4797.4195.8397.4596.51
DHKBackbones=ResNet18, Image size=256^22026.0497.9297.3297.9293.7596.4310097.6296.597.2296.84
LiftingNetBackbones=AlexNet, Image size=256^22026.0495.8390.1893.7593.7594.6492.4193.391.1893.4392.09
ADMTLBackbones=ResNet18, Image size=256^22026.0495.8395.5497.9293.7598.2196.296.5495.1396.2495.66
TDMSAEBackbones=ResNet50, Image size=256^22026.0493.7598.2195.8393.7599.1198.7397.1995.596.5695.96
DATMMDBackbones=LeNet, Image size=256^22026.0490.6393.7593.7510093.7594.9493.5292.4694.4793.38