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Anomaly Detection On Aebad V

评估指标

Detection AUROC

评测结果

各个模型在此基准测试上的表现结果

模型名称
Detection AUROC
Paper TitleRepository
RIAD56.1Reconstruction by Inpainting for Visual Anomaly Detection
DRAEM68.1DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
ReverseDistillation71.0Anomaly Detection via Reverse Distillation from One-Class Embedding
NSA64.6Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
InTra54.1Inpainting Transformer for Anomaly Detection
PatchCore70.7Towards Total Recall in Industrial Anomaly Detection
MMR78.2Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
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