NEW! Towards Reliable Medical Unsupervised Anomaly Detection: A Benchmark and Dataset for PET/CT with Cross-Modality Knowledge Distillation Network Muhao Xu, Lili Qu, Zihan Nie, Feng Li, Zhuangzhuang Chen, Qi Liao, Yi Wan, Sijie Niu, Runmin Cong, Xin Li and Weiye Song Information Fusion . [paper]

NEW! Few-shot Medical Anomaly Detection through Centroid Consultation Back and Test-Time Self-Calibration Zihan Nie, Muhao Xu, Yuan Cui, Hua Wei, Wei Yi, Sijie Niu, Yi Wan, Weiye Song and Xunbin Wei Pattern Recognition. [paper]

NEW! Beyond Feature Mapping: Dual-Heterogeneous Knowledge Distillation with Mamba for Industrial Anomaly Detection Muhao Xu, Zihan Nie, Baochen Fu, Zhuangzhuang Chen, Zijian Li, Hua Wei, Yi Wan and Weiye Song Expert Systems With Applications. [paper]

NEW! Hybrid Dual-Heterogeneous Knowledge Distillation Network for Anomaly Detection in Retinal OCT Images Muhao Xu, Hua Wei, Zihan Nie, Xueying Zhou, Baochen Fu, Hongmei Yan, Yi Wan and Weiye Song IEEE Journal of Biomedical and Health Informatics. [paper]

NEW! A Framework with Multi-Scale Hybrid Mamba Voxel Flow for Video Prediction Muhao Xu, Baochen Fu, Hua Wei, Wei Yi, Yi Wan and Weiye Song IEEE Transactions on Circuits and Systems for Video Technology. [paper]

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection Muhao Xu, Xueying Zhou, Xizhan Gao, Weiye Song, Guang Feng, and Sijie Niu IEEE Transactions on Instrumentation and Measurement. [paper]

Multi-task Hybrid Knowledge Distillation for Unsupervised Anomaly Detection Muhao Xu, Cuiping Zhu, Guang Feng, Sijie Niu IEEE Transactions on Industrial Informatics. [paper]

Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection Muhao Xu, Xueying Zhou, Xizhan Gao, Weikai He, Sijie Niu IEEE Transactions on Instrumentation and Measurement. [paper]