[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.

Provides everything needed for high performance data loading and augmentation in pytorch.

PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"

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This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Correcting Deviations from Normality: A Reformulated Diffusion Mo…

This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Correcting Deviations from Normality: A Reformulated Diffusion Mo…

🔥 🔥 🔥 A paper list of some recent Computer Vision(CV) works

[ICCV ADFM'25] ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

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