ymxlzgy/FoundAD
[ICLR 2026] The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
This tool helps quality control inspectors and manufacturing engineers quickly spot defects or anomalies in products. By providing just a few examples of normal products, it can identify unusual items in a batch. You input images of products, and it outputs highlighted images showing where the anomalies are located.
Use this if you need to automate visual inspection on a production line or in a lab, especially when you have very limited examples of defective items for training.
Not ideal if you require traditional machine learning models trained on large, pre-labeled datasets of both normal and anomalous items.
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Language
Python
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Last pushed
Mar 06, 2026
Commits (30d)
0
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