Multiple Expert Brainstorming for Domain Adaptive Person Re-identification

3 Jul 2020Yunpeng ZhaiQixiang YeShijian LuMengxi JiaRongrong JiYonghong Tian

Often the best performing deep neural models are ensembles of multiple base-level networks, nevertheless, ensemble learning with respect to domain adaptive person re-ID remains unexplored. In this paper, we propose a multiple expert brainstorming network (MEB-Net) for domain adaptive person re-ID, opening up a promising direction about model ensemble problem under unsupervised conditions... (read more)

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