Distilled Person Re-Identification: Towards a More Scalable System

CVPR 2019 Ancong Wu Wei-Shi Zheng Xiaowei Guo Jian-Huang Lai

Person re-identification (Re-ID), for matching pedestrians across non-overlapping camera views, has made great progress in supervised learning with abundant labelled data. However, the scalability problem is the bottleneck for applications in large-scale systems... (read more)

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