Multi-label learning with multi-label smoothing regularization for vehicle re-identification
Vehicle re-identification (re-ID) is a vital technique to the urban intelligent video surveillance system and smart city. Given a query vehicle image, the vehicle re-ID aims to search and retrieve the images of the same vehicle that have been captured by different surveillance cameras with various v...
Main Authors: | Hou, Jinhui, Zeng, Huanqiang, Cai, Lei, Zhu, Jianqing, Chen, Jing, Ma, Kai-Kuang |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151339 |
Similar Items
-
Uniform person re-identification
by: Li, Dichen
Published: (2024) -
Person re-identification via pose-aware multi-semantic learning
by: Luo, Xiangzhong, et al.
Published: (2023) -
Convolutional neural networks with dynamic regularization
by: Wang, Yi, et al.
Published: (2022) -
Moving towards centers: re-ranking with attention and memory for re-identification
by: Zhou, Yunhao, et al.
Published: (2022) -
A unified deep semantic expansion framework for domain-generalized person re-identification
by: Ang, Eugene P. W., et al.
Published: (2024)