2.3k citations · 3.9k across the 43 of their papers we have counts for
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3 papers · 1 filter
cs.CV2018★ 26 cited
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data
Xi Yin, Xiang Yu, Kihyuk Sohn +2
Despite the large volume of face recognition datasets, there is a significant portion of subjects, of which the samples are insufficient and thus under-represented. Ignoring such s…
cs.CV2018★ 3 cited
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
Luan Tran, Kihyuk Sohn, Xiang Yu +2
Recent developments in deep domain adaptation have allowed knowledge transfer from a labeled source domain to an unlabeled target domain at the level of intermediate features or in…
cs.CV2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter +3
Convolutional neural network-based approaches for semantic segmentation rely on supervision with pixel-level ground truth, but may not generalize well to unseen image domains. As t…