35 citations · 88 across the 9 of their papers we have counts for
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cs.LG2018
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation
Jun Wen, Risheng Liu, Nenggan Zheng +3
Unsupervised domain adaptation methods aim to alleviate performance degradation caused by domain-shift by learning domain-invariant representations. Existing deep domain adaptation…
cs.CV2018
Object-Level Representation Learning for Few-Shot Image Classification
Liangqu Long, Wei Wang, Jun Wen +3
Few-shot learning that trains image classifiers over few labeled examples per category is a challenging task. In this paper, we propose to exploit an additional big dataset with di…