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SotA/Methodology/2D Classification/GoodsAD

2D Classification on GoodsAD

Metric: AUPR (higher is better)

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#Model↕AUPR▼AugmentationsPaperDate↕Code
1PatchCore-100%86.1NoTowards Total Recall in Industrial Anomaly Detec...2021-06-15Code
2PatchCore-1%83.3NoTowards Total Recall in Industrial Anomaly Detec...2021-06-15Code
3SimpleNet78.7NoSimpleNet: A Simple Network for Image Anomaly De...2023-03-27Code
4CFLOW-AD75.3NoCFLOW-AD: Real-Time Unsupervised Anomaly Detecti...2021-07-27Code
5NSA71.8NoNatural Synthetic Anomalies for Self-Supervised ...2021-09-30Code
6DRAEM71NoDRAEM -- A discriminatively trained reconstructi...2021-08-17Code
7SPADE68.7NoSub-Image Anomaly Detection with Deep Pyramid Co...2020-05-05Code
8RD4AD68.2NoAnomaly Detection via Reverse Distillation from ...2022-01-26Code
9f-AnoGAN66.6No--Code
10CutPaste62.8NoCutPaste: Self-Supervised Learning for Anomaly D...2021-04-08Code