62 citations · 250 across the 38 of their papers we have counts for
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cs.CV2019★ 13 cited
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Fengxiang Yang, Ke Li, Zhun Zhong +7
Person re-identification (re-ID), is a challenging task due to the high variance within identity samples and imaging conditions. Although recent advances in deep learning have achi…
cs.CL2019★ 4 cited
Interpretable Text Classification Using CNN and Max-pooling
Hao Cheng, Xiaoqing Yang, Zang Li +2
Deep neural networks have been widely used in text classification. However, it is hard to interpret the neural models due to the complicate mechanisms. In this work, we study the i…