Learning Part-based Convolutional Features for Person Re-Identification
Project Code :TCMAPY776
Objective
In this study, the learned descriptor has a significantly higher discriminative ability than the global descriptor. Second, based on PCB, we propose refined part pooling (RPP), which allows the parts to be more precisely located.
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