MAEDAY: MAE for few and zero shot AnomalY-Detection
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866914679312351232 |
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| author | Schwartz, Eli Arbelle, Assaf Karlinsky, Leonid Harary, Sivan Scheidegger, Florian Doveh, Sivan Giryes, Raja |
| author_facet | Schwartz, Eli Arbelle, Assaf Karlinsky, Leonid Harary, Sivan Scheidegger, Florian Doveh, Sivan Giryes, Raja |
| contents | We propose using Masked Auto-Encoder (MAE), a transformer model self-supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous regions are harder to reconstruct compared with normal regions. MAEDAY is the first image-reconstruction-based anomaly detection method that utilizes a pre-trained model, enabling its use for Few-Shot Anomaly Detection (FSAD). We also show the same method works surprisingly well for the novel tasks of Zero-Shot AD (ZSAD) and Zero-Shot Foreign Object Detection (ZSFOD), where no normal samples are available. Code is available at https://github.com/EliSchwartz/MAEDAY . |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_14307 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | MAEDAY: MAE for few and zero shot AnomalY-Detection Schwartz, Eli Arbelle, Assaf Karlinsky, Leonid Harary, Sivan Scheidegger, Florian Doveh, Sivan Giryes, Raja Computer Vision and Pattern Recognition We propose using Masked Auto-Encoder (MAE), a transformer model self-supervisedly trained on image inpainting, for anomaly detection (AD). Assuming anomalous regions are harder to reconstruct compared with normal regions. MAEDAY is the first image-reconstruction-based anomaly detection method that utilizes a pre-trained model, enabling its use for Few-Shot Anomaly Detection (FSAD). We also show the same method works surprisingly well for the novel tasks of Zero-Shot AD (ZSAD) and Zero-Shot Foreign Object Detection (ZSFOD), where no normal samples are available. Code is available at https://github.com/EliSchwartz/MAEDAY . |
| title | MAEDAY: MAE for few and zero shot AnomalY-Detection |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2211.14307 |