2 citations · 3 across the 14 of their papers we have counts for
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cs.CV2023★ 1 cited
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning
Qing Miao, Xiaohe Wu, Chao Xu +4
Learning with noisy labels (LNL) has been extensively studied, with existing approaches typically following a framework that alternates between clean sample selection and semi-supe…
cs.CV2023
Learning Real-World Image De-Weathering with Imperfect Supervision
Xiaohui Liu, Zhilu Zhang, Xiaohe Wu +4
Real-world image de-weathering aims at removing various undesirable weather-related artifacts. Owing to the impossibility of capturing image pairs concurrently, existing real-world…