Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification
Person re-identification (Re-ID) has a problem that makes learning difficult such as misalignment and occlusion. To solve these problems, it is important to focus on robust features in intra-class variation. Existing attention-based Re-ID methods focus only on common features without considering dis...
Main Authors: | Dasol Jeong, Hasil Park, Joongchol Shin, Donggoo Kang, Joonki Paik |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/12/3603 |
Similar Items
-
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
by: Thierry Ntwari, et al.
Published: (2020-08-01) -
Local Feature-Aware Siamese Matching Model for Vehicle Re-Identification
by: Honglie Wang, et al.
Published: (2020-04-01) -
Person Re-Identification by Siamese Network
by: Newlin Shebiah Russel, et al.
Published: (2023-03-01) -
A Siamese Neural Network for Non-Invasive Baggage Re-Identification
by: Pier Luigi Mazzeo, et al.
Published: (2020-11-01) -
Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification
by: Yalei Zhou, et al.
Published: (2022-08-01)