zqhang/AnomalyCLIP

Vanilla torch and timm industrial knn-based anomaly detection for images.

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

Pytorch version of - https://github.com/WaqasSultani/AnomalyDetectionCVPR2018

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

👽 Out-of-Distribution Detection with PyTorch

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。