Adversarial Bipartite Graph Learning for Video Domain Adaptation

31 Jul 2020Yadan LuoZi HuangZijian WangZheng ZhangMahsa Baktashmotlagh

Domain adaptation techniques, which focus on adapting models between distributionally different domains, are rarely explored in the video recognition area due to the significant spatial and temporal shifts across the source (i.e. training) and target (i.e. test) domains. As such, recent works on visual domain adaptation which leverage adversarial learning to unify the source and target video representations and strengthen the feature transferability are not highly effective on the videos... (read more)

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