Learning Granularity-Unified Representations for Text-to-Image Person Re-identification-Reference-Cited by-同舟云学术

Learning Granularity-Unified Representations for Text-to-Image Person Re-identification

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Shao Zhiyin¹,Zhang Xinyu²,Fang Meng³,Lin Zhifeng¹,Wang Jian²,Ding Changxing¹

Affiliation:

1. South China University of Technology, Guangzhou, China

2. Baidu VIS, Beijing, China

3. University of Liverpool, Liverpool, United Kingdom

Funder

the Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Guangdong Basic and Applied Basic Research Foundation

Guangdong Provincial Key Laboratory of Human Digital Twin

CCF-Baidu Open Fund

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548028

Reference49 articles.

1. Text-based Person Search via Attribute-aided Matching

2. End-to-End Object Detection with Transformers

3. Improving Text-Based Person Search by Spatial Matching and Adaptive Threshold

4. UNITER: UNiversal Image-TExt Representation Learning

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

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