TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification-Reference-Cited by-同舟云学术

TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Rao Haocong¹,Miao Chunyan¹

Affiliation:

1. LILY Research Center, Nanyang Technological University, Singapore School of Computer Science and Engineering, Nanyang Technological University,Singapore

Funder

National Research Foundation, Singapore under its AI Singapore Programme

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204295.pdf?arnumber=10204295

Reference53 articles.

1. Re-identification with RGB-D Sensors

2. One-Shot Person Re-identification with a Consumer Depth Camera

3. Space-time representation of people based on 3D skeletal data: A review;han;Computer Vision and Image Understanding,2017

4. SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification

5. Visualizing data using t-SNE;van der maaten;Journal of Machine Learning Research,2008

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FRCE: Transformer-based feature reconstruction and cross-enhancement for occluded person re-identification;Expert Systems with Applications;2024-12

2. AGS: Transferable adversarial attack for person re-identification by adaptive gradient similarity attack;Knowledge-Based Systems;2024-09

3. Multi-modal graph context extraction and consensus-aware learning for emotion recognition in conversation;Knowledge-Based Systems;2024-08

4. Cross-Domain Person Re-Identification Based on Feature Fusion Invariance;Applied Sciences;2024-05-28

5. Object Re-identification network based on Dynamic Snake attention module;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19