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caoyunkang/README.md

Hi there 👋

I am pursuing my Ph.D. degree (2020.09 - Present) in Huazhong University of Science and Technology, Wuhan, China, under the supervision of Prof. Weiming Shen. My passion lies in developing novel algorithms and techniques to improve the accuracy and efficiency of anomaly detection in complex images.

  • 💬 Feel free to drop me emails if you have interests.

Yunkang Cao's github stats

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  1. Segment-Any-Anomaly Segment-Any-Anomaly Public

    Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

    Jupyter Notebook 736 75

  2. CDO CDO Public

    [TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization

    Python 64 7

  3. M-3LAB/awesome-industrial-anomaly-detection M-3LAB/awesome-industrial-anomaly-detection Public

    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)。

    1.7k 152

  4. WinClip WinClip Public

    [CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

    Python 265 23

  5. GPT4V-for-Generic-Anomaly-Detection GPT4V-for-Generic-Anomaly-Detection Public

    [Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

    109 6

  6. AdaCLIP AdaCLIP Public

    [ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

    Python 137 4