caoyunkang
Ph.D. in HUST. My passion lies in developing novel algorithms and techniques to improve the accuracy and efficiency of anomaly detection in complex images.
HUSTWuhan, China
Pinned Repositories
AdaCLIP
[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
CDO
[TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
CPMF
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
GMAD
GPT4V-for-Generic-Anomaly-Detection
[Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.
IKD
[KBS 2022] Informative knowledge distillation for image anomaly segmentation
PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
[TII 2022 & CASE 2022] PFM and PEFM for Image Anomaly Detection and Segmentation
Segment-Any-Anomaly
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
WinClip
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
awesome-industrial-anomaly-detection
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)。
caoyunkang's Repositories
caoyunkang/Segment-Any-Anomaly
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
caoyunkang/WinClip
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
caoyunkang/AdaCLIP
[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
caoyunkang/GPT4V-for-Generic-Anomaly-Detection
[Arxiv] Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead.
caoyunkang/CDO
[TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
caoyunkang/CPMF
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
caoyunkang/IKD
[KBS 2022] Informative knowledge distillation for image anomaly segmentation
caoyunkang/GMAD
caoyunkang/PFM-and-PEFM-for-Image-Anomaly-Detection-and-Segmentation
[TII 2022 & CASE 2022] PFM and PEFM for Image Anomaly Detection and Segmentation
caoyunkang/awesome-industrial-anomaly-detection
Paper list and datasets for industrial image anomaly detection.
caoyunkang/caoyunkang
caoyunkang/caoyunkang.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
caoyunkang/caoyunkang11.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
caoyunkang/MVP-PCLIP
The Official Implementation for ''Towards Zero-shot Point Cloud Anomaly Detection: A Multi-View Projection Framework''
caoyunkang/open-iad
Image anomaly detection benchmark in industrial manufacturing
caoyunkang/RAD-dataset
caoyunkang/ZegCLIP
Official implement of ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation