The following publications are possibly variants of this publication:
- Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label LearningWenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen. AAAI 2024: 15438-15446 [doi]
- Extended $T$T: Learning With Mixed Closed-Set and Open-Set Noisy LabelsXiaobo Xia, Bo Han 0003, Nannan Wang 0001, Jiankang deng, Jiatong Li, Yinian Mao, Tongliang Liu. pami, 45(3):3047-3058, March 2023. [doi]
- SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy LabelsHan Yang, Tianyu Wang, Xiaowei Hu, Chi-Wing Fu. iccv 2023: 12641-12652 [doi]
- Label Distribution for Learning with Noisy LabelsYun-peng Liu, Ning Xu 0009, Yu Zhang, Xin Geng. IJCAI 2020: 2568-2574 [doi]
- Learning and Mining with Noisy LabelsMasashi Sugiyama, Tongliang Liu, Bo Han 0003, Yang Liu, Gang Niu 0001. CIKM 2022: 5152-5155 [doi]