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Gotta Adapt ’Em All: Joint Pixel & Feature-Level Domain Adaptation for Recognition in the Wild
CVPR 2019 | We provide a solution that allows knowledge transfer from fully annotated source images to unlabeled target ones, which are often captured in a different condition. We adapt at multiple semantic levels from feature to pixel, with complementary insights for each type. Utilizing the proposal, we achieve better recognition accuracy of car images in an unlabeled surveillance domain by adapting the knowledge from car images on the web.
Collaborators: Luan Tran, Kihyuk Sohn, Xiaoming Liu, Manmohan Chandraker
