An unsupervised domain adaptation framework for person re-identification that combines exemplar memory, camera style consistency, and graph-based positive prediction reaches state-of-the-art accuracy on Market-1501, DukeMTMC-reID, and MSMT17.
Spectral networks and locally connected networks on graphs
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Learning to Adapt Invariance in Memory for Person Re-identification
An unsupervised domain adaptation framework for person re-identification that combines exemplar memory, camera style consistency, and graph-based positive prediction reaches state-of-the-art accuracy on Market-1501, DukeMTMC-reID, and MSMT17.