Explainable Deep Few-shot Anomaly Detection with Deviation Networks. - Guansong Pang; Choubo Ding; Chunhua Shen; Anton van den Hengel (CoRR, 2021)

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. - Choubo Ding; Guansong Pang; Chunhua Shen (CVPR, 2022)

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. - Yuyuan Liu; Choubo Ding; Yu Tian 001; Guansong Pang; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ICCV, 2023)

Background Matters: Enhancing Out-of-distribution Detection with Domain Features. - Choubo Ding; Guansong Pang; Chunhua Shen (CoRR, 2023)

Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection. - Jiawen Zhu; Choubo Ding; Yu Tian 001; Guansong Pang (CVPR, 2024)

Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. - Choubo Ding; Guansong Pang (IJCNN, 2024)

Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features. - Choubo Ding; Guansong Pang (ACM Multimedia, 2024)