ReConPatch WRN-101

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology2 results

Anomaly DetectiononMVTec AD
Detection AUROC· 2023-05-26
99.62
best: 99.9 (GLASS)
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection arXiv:2305.16713
Anomaly DetectiononMVTec AD
Segmentation AUROC· 2023-05-26
98.53
best: 99.7 (WeakREST-Block)
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection arXiv:2305.16713