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Local-Aware Global Attention Network for Person Re-Identification. (arXiv:2209.04821v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Learning representative, robust and discriminative information from images is
essential for effective person re-identification (Re-Id). In this paper, we
propose a compound approach for end-to-end discriminative deep feature learning
for person Re-Id based on both body and hand images. We carefully design the
Local-Aware Global Attention Network (LAGA-Net), a multi-branch deep network
architecture consisting of one branch for spatial attention, one branch for
channel attention, one branch for global feature representations and another
branch for local feature representations. The attention …
arxiv attention global global attention identification network person