Hanxiao Wang, Xiatian Zhu, Shaogang Gong, Tao Xiang
TL;DR本文提出了一种基于 Identity Regression Space 的方法,通过增量学习和快速更新模型,使得人员再识别方法具有更好的可扩展性和适应性,并通过实验验证在多个数据集上表现优秀 。
Abstract
Most existing person re-identification (re-id) methods are unsuitable for
real-world deployment due to two reasons: Unscalability to large population
size, and Inadaptability over time. In this work, we present a unified solution
to address both problems. Specifically, we propose to co