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Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Instead of learning on semantic regions, we uniformly partition the images into several stripes, and vary the number of parts in different local branches to obtain local feature representations with multiple granularities.
Ranked #3 on
Person Re-Identification
on SYSU-30k
(using extra training data)
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