What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection? - Lingrui Zhang; Shuheng Zhang; Guoyang Xie; Jiaqi Liu 004; Hua Yan; Jinbao Wang; Feng Zheng; Yaochu Jin (CVPR Workshops, 2023)

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. - Guoyang Xie; Jinbao Wang; Jiaqi Liu 004; Yaochu Jin; Feng Zheng (ICLR, 2023)

EasyNet: An Easy Network for 3D Industrial Anomaly Detection. - Ruitao Chen; Guoyang Xie; Jiaqi Liu 004; Jinbao Wang; Ziqi Luo; Jinfan Wang; Feng Zheng (ACM Multimedia, 2023)

Real3D-AD: A Dataset of Point Cloud Anomaly Detection. - Jiaqi Liu 004; Guoyang Xie; Ruitao Chen; Xinpeng Li 004; Jinbao Wang; Yong Liu 032; Chengjie Wang; Feng Zheng (NeurIPS, 2023)

Deep Industrial Image Anomaly Detection: A Survey. - Jiaqi Liu 004; Guoyang Xie; Jingbao Wang; Shangnian Li; Chengjie Wang; Feng Zheng; Yaochu Jin (CoRR, 2023)

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore. - Guoyang Xie; Jingbao Wang; Jiaqi Liu 004; Feng Zheng; Yaochu Jin (CoRR, 2023)

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. - Jiaqi Liu 004; Kai Wu; Qiang Nie; Ying Chen; Bin-Bin Gao; Yong Liu 032; Jinbao Wang; Chengjie Wang; Feng Zheng (AAAI, 2024)

Deep Industrial Image Anomaly Detection: A Survey. - Jiaqi Liu 004; Guoyang Xie; Jin-Bao Wang; Shangnian Li; Chengjie Wang; Feng Zheng; Yaochu Jin (Mach. Intell. Res., 2024)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. - Guoyang Xie; Jinbao Wang; Jiaqi Liu 004; Jiayi Lyu; Yong Liu 032; Chengjie Wang; Feng Zheng; Yaochu Jin (IEEE Trans. Cybern., 2024)