Abstract: Highlights•Leverage diverse prior knowledge from multiple source domains to enhance the generalization ability on a new target domain.•Learn consistent knowledge and complementary features with experts from different domains.•Adaptively balance knowledge among experts.•Extensive experimental results on public benchmarks (Market-1501, DukeMTMCreID and MSMT17) have shown the effectiveness of the proposed method.
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