few-shot-anomaly-detection

Here are 3 public repositories matching this topic...

mala-lab / InCTRL

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

anomaly-detection image-anomaly-detection foundation-models vision-language-model generalist-model few-shot-anomaly-detection

Updated Sep 3, 2024
Python

scortexio / patchcore-few-shot

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Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

computer-vision anomaly-detection few-shot-learning anomaly-segmentation few-shot-anomaly-detection

Updated Jul 25, 2023
Python

mala-lab / WinCLIP

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Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same zero-/few-shot AD performance as that in the original paper.

clip anomaly-detection foundation-models vision-language-model few-shot-anomaly-detection zero-shot-anomaly-detection

Updated Apr 4, 2024
Python

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