DADF

Reported on 4 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.

Methodology4 results

Anomaly DetectiononMVTec LOCO AD
Avg. Detection AUROC· 2023-03-31
83.7
best: 95.3 (CSAD)
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow arXiv:2303.17882
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only logical)· 2023-03-31
79.2
best: 98.1 (PSAD)
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow arXiv:2303.17882
Anomaly DetectiononMVTec LOCO AD
Detection AUROC (only structural)· 2023-03-31
88.2
best: 95.9 (PUAD-M)
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow arXiv:2303.17882
Anomaly DetectiononMVTec LOCO AD
Segmentation AU-sPRO (until FPR 5%)· 2023-03-31
67.4
best: 83.2 (SAM-LAD)
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow arXiv:2303.17882