[ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
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Jan 18, 2026 - Python
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multi-class-anomaly-detection
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ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
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Apr 17, 2024 - Python
Clean reproduction of UniAD (You et al., NeurIPS 2022 Spotlight) on MVTec-AD - multi-class anomaly detection and localization with one unified transformer-based reconstruction model.
computer-vision deep-learning pytorch transformer anomaly-detection unified-model efficientnet paper-reproduction mvtec-ad unsupervised-anomaly-detection feature-reconstruction uniadex visual-anomaly-detection multi-class-anomaly-detection neighbor-masked-attention
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May 5, 2026 - Python
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