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Image-level Anomaly Detection on Uni-Medical (test)

84.9AUROCDinomaly
75.74878.12480.582.876May 23, 2024

Evaluation results

MethodLinks
DinomalySetting=multi-class UAD2024.0584.984.181
MambaADSetting=multi-class UAD, Designed for MUAD=true2024.0583.980.881.9
VITADSetting=multi-class UAD, Designed for MUAD=true2024.0581.880.780
UniADSetting=multi-class UAD, Designed for MUAD=true2024.057976.177.1
DiADSetting=multi-class UAD, Designed for MUAD=true2024.0578.877.277.7
DeSTSegSetting=multi-class UAD2024.0578.57778.2
SimpleNetSetting=multi-class UAD2024.0577.577.776.7
RD4ADSetting=multi-class UAD2024.0576.175.378.2