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...

Celý popis

Podrobná bibliografia

Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition s. 7948 - 7956
Hlavní autori:	Lv, Jianming, Chen, Weihang, Li, Qing, Yang, Can
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2018
Predmet:	Cameras Feature extraction Optimization Silicon Supervised learning Surveillance Visualization
ISSN:	1063-6919
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!