Asymmetric co-teaching with multi-view consensus for noisy label learning

F Liu, Y Chen, C Wang, Y Tain, G Carneiro - arXiv preprint arXiv …, 2023 - arxiv.org
Learning with noisy-labels has become an important research topic in computer vision
where state-of-the-art (SOTA) methods explore: 1) prediction disagreement with co-teaching …
被引用次数：1 相关文章

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning

F Liu, Y Chen, C Wang, Y Tain, G Carneiro - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Learning with noisy-labels has become an important research topic in computer vision
where state-of-the-art (SOTA) methods explore: 1) prediction disagreement with co-teaching …

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning

F Liu, Y Chen, C Wang, Y Tain, G Carneiro - openresearch.surrey.ac.uk
Learning with noisy-labels has become an important research topic in computer vision
where state-of-the-art (SOTA) methods explore: 1) prediction disagreement with co-teaching …