4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 3 cited
Safeguarded Dynamic Label Regression for Generalized Noisy Supervision
Jiangchao Yao, Ya Zhang, Ivor W. Tsang +1
Learning with noisy labels, which aims to reduce expensive labors on accurate annotations, has become imperative in the Big Data era. Previous noise transition based method has ach…
cs.CV2017★ 4 cited
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao, Jiajie Wang, Ivor Tsang +4
There is an emerging trend to leverage noisy image datasets in many visual recognition tasks. However, the label noise among the datasets severely degenerates the \mbox{performance…