Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns

Most of the proposed person re-identification algorithms conduct supervised training and testing on single labeled datasets with small size, so directly deploying these trained models to a large-scale real-world camera network may lead to poor performance due to underfitting. It is challenging to in...

Full description

Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 7948 - 7956
Main Authors:	Lv, Jianming, Chen, Weihang, Li, Qing, Yang, Can
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2018
Subjects:	Cameras Feature extraction Optimization Silicon Supervised learning Surveillance Visualization
ISSN:	1063-6919
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!