Learning Disentangled Representation Implicitly Via Transformer for Occluded Person Re-Identification
Author:
Affiliation:
1. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China
2. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore
Funder
Shenzhen Fundamental Research Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10016790/09674853.pdf?arnumber=9674853
Reference69 articles.
1. Mask-Guided Contrastive Attention Model for Person Re-identification
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3. Pose-Guided Feature Alignment for Occluded Person Re-Identification
4. Part-Aligned Bilinear Representations for Person Re-identification
5. Human Semantic Parsing for Person Re-identification
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