2 papers
cs.LG2021
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
Guoqiang Wu, Chongxuan Li, Kun Xu +1
(Partial) ranking loss is a commonly used evaluation measure for multi-label classification, which is usually optimized with convex surrogates for computational efficiency. Prior t…
cs.CV2018
Chinese Text in the Wild
Tai-Ling Yuan, Zhe Zhu, Kun Xu +2
We introduce Chinese Text in the Wild, a very large dataset of Chinese text in street view images. While optical character recognition (OCR) in document images is well studied and…