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Reported on 6 benchmarks across 3 tasks · 1 paper

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

Methodology4 results

Anomaly DetectiononGoodsAD
AUPR· 2021-04-08
62.8
best: 86.1 (PatchCore-100%)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015
Anomaly DetectiononGoodsAD
AUROC· 2021-04-08
60.2
best: 86.1 (MiniMaxAD-fr)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015
2D ClassificationonGoodsAD
AUPR· 2021-04-08
62.8
best: 86.1 (PatchCore-100%)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015
2D ClassificationonGoodsAD
AUROC· 2021-04-08
60.2
best: 86.1 (MiniMaxAD-fr)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015

Computer Vision2 results

Anomaly ClassificationonGoodsAD
AUPR· 2021-04-08
62.8
best: 86.1 (PatchCore-100%)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015
Anomaly ClassificationonGoodsAD
AUROC· 2021-04-08
60.2
best: 86.1 (MiniMaxAD-fr)
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization arXiv:2104.04015