Person re-identification based on large vision-language model
Person re-identification (ReID) is a task within computer vision that seeks to accurately recognize and match individuals across disjoint camera views, notwithstanding variations in viewpoint and illumination conditions. With the development of large vision-Language model and the substantial demand...
Saved in:
Main Author: | Ding, Songyu |
---|---|
Other Authors: | Alex Chichung Kot |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176052 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A unified deep semantic expansion framework for domain-generalized person re-identification
by: Ang, Eugene P. W., et al.
Published: (2024) -
Deep learning for person re-identification: A survey and outlook
by: YE, Mang, et al.
Published: (2022) -
Uniform person re-identification
by: Li, Dichen
Published: (2024) -
Complementary networks for person re-identification
by: Zhang, Guoqing, et al.
Published: (2023) -
Attribute-restricted latent topic model for person re-identification
by: Liu, X., et al.
Published: (2014)