An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP. - Yuhui Huang; Xin Xie 002; Weiye Ning; Dengquan Wu; Zixi Li; Hao Yang 013 (ML4CS (2), 2022)

RDAD: A reconstructive and discriminative anomaly detection model based on transformer. - Xin Xie 002; Yuhui Huang; Weiye Ning; Dengquan Wu; Zixi Li; Hao Yang 013 (Int. J. Intell. Syst., 2022)

An Anomaly Detection and Localization Method Based on Feature Fusion and Attention. - Zixi Li; Xin Xie 002; Dengquan Wu; Shenping Xiong; Tijian Cai (AIS&P (2), 2023)

GridFormer: Grid Foreign Object Detection also Requires Transformer. - Dengquan Wu; Hanxin Zheng; Zixi Li; Xin Xie 002; Tijian Cai; Fengyang Shang (AIS&P (2), 2023)

A weakly supervised anomaly detection method based on deep anomaly scoring network. - Xin Xie 002; Zixi Li; Yuhui Huang; Dengquan Wu (Signal Image Video Process., 2023)

GhostFormer: Efficiently amalgamated CNN-transformer architecture for object detection. - Xin Xie 002; Dengquan Wu; Mingye Xie; Zixi Li (Pattern Recognit., 2024)