Introduction to person re-identification using deep learning models. It includes experiments about cross-domain issue.
Experiments are based on open-source github code: https://github.com/KaiyangZhou/deep-p....
Backbones used are based on paper:
Learning Generalisable Omni-Scale Representations for Person Re-Identification. Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang.
Tricks used are based on paper:
Bag of tricks and A strong baseline for deep person re-identification. Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang.