Changsha, China

Yunkang Cao

Elite
@caoyunkang

Assistant Professor, Hunan University. Working on Visual Anomaly Detection and Embodied Intelligence in Industrial Systems.

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

843

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

426

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

308

GPT4V-for-Generic-Anomaly-Detection. [CSCWD] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.

130

CPMF. [PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection

85

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

84

VarAD. [IEEE TII 2025] Official Implementation for "VarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling"

30

IKD. [KBS 2022] Informative knowledge distillation for image anomaly segmentation

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GMAD.

4

MVP-PCLIP. The Official Implementation for ''Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework''

1

awesome-industrial-anomaly-detection. Paper list and datasets for industrial image anomaly detection.

1

PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation. [TII 2022 & CASE 2022] PFM and PEFM for Image Anomaly Detection and Segmentation

1

caoyunkang.

1

caoyunkang11.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

1

INP-Former. [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”

1

caoyunkang.github.io. AcadHomepage: A Modern and Responsive Academic Personal Homepage

1

GLFM-Multi-class-3DAD. The Official Implementation for ''Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection'' (IEEE Transactions on Automation Science and Engineering)

1

RAD-dataset. Python

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