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caoyunkang/README.md

Yunkang Cao (曹云康)

Assistant Professor and Ph.D. Supervisor at the School of Artificial Intelligence and Robotics, Hunan University. Associate Research Fellow at the National Engineering Research Center of Robot Visual Perception and Control Technology, and Deputy Director of the Department of Robotics Engineering.

湖南大学人工智能与机器人学院助理教授、博士生导师,机器人视觉感知与控制技术国家工程研究中心副研究员,机器人工程系副主任。

My research focuses on industrial anomaly generation, anomaly detection, anomaly understanding, and embodied perception.

主要研究工业异常生成、异常检测、异常理解与具身感知。

Personal Homepage | Google Scholar | Email

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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 843 81

  2. CDO CDO Public

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

    Python 84 9

  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)。

    3.7k 331

  4. WinClip WinClip Public

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

    Python 426 50

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

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

    130 7

  6. AdaCLIP AdaCLIP Public

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

    Python 308 18