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1. mala-lab/InCTRL mala-lab/InCTRL Public

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

   Python 202 23

2. mala-lab/AHL mala-lab/AHL Public

   Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

   Python 54 5

3. mala-lab/WinCLIP mala-lab/WinCLIP Public

   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.

   Python 71 11

4. mala-lab/FAPrompt mala-lab/FAPrompt Public

   Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".

   Python 41 3

5. mala-lab/VLAForge mala-lab/VLAForge Public

   Official PyTorch implementation of CVPR'26 paper "Unleashing Vision-Language Semantics for Deepfake Video Detection".

   11

6. mala-lab/InCTRLv2 mala-lab/InCTRLv2 Public

   Official PyTorch implementation of "InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation".

   1