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SotA/Methodology/2D Classification/GoodsAD

2D Classification on GoodsAD

Metric: AUROC (higher is better)

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#Model↕AUROC▼AugmentationsPaperDate↕Code
1MiniMaxAD-fr86.1NoMiniMaxAD: A Lightweight Autoencoder for Feature...2024-05-16Code
2PatchCore-100%85.5NoTowards Total Recall in Industrial Anomaly Detec...2021-06-15Code
3PatchCore-1%81.4NoTowards Total Recall in Industrial Anomaly Detec...2021-06-15Code
4SimpleNet75.3NoSimpleNet: A Simple Network for Image Anomaly De...2023-03-27Code
5CFLOW-AD71.2NoCFLOW-AD: Real-Time Unsupervised Anomaly Detecti...2021-07-27Code
6NSA67.3NoNatural Synthetic Anomalies for Self-Supervised ...2021-09-30Code
7RD4AD66.5NoAnomaly Detection via Reverse Distillation from ...2022-01-26Code
8DRAEM65.9NoDRAEM -- A discriminatively trained reconstructi...2021-08-17Code
9SPADE64.1NoSub-Image Anomaly Detection with Deep Pyramid Co...2020-05-05Code
10f-AnoGAN62.8No--Code
11CutPaste60.2NoCutPaste: Self-Supervised Learning for Anomaly D...2021-04-08Code