Cross-Entropy Adversarial View Adaptation for Person Re-identification
IEEE Transactions on Circuits and Systems for Video Technology, pp. 2081-2092, 2019.
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Person re-identification (re-ID) is a task of matching pedestrians under disjoint camera views. To recognize paired snapshots, it has to cope with large cross-view variations caused by the camera view shift. The supervised deep neural networks are effective in producing a set of non-linear projections that can transform cross-view images ...More
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