CLIP-Driven Fine-Grained Text-Image Person Re-Identification-Reference-Cited by-同舟云学术

CLIP-Driven Fine-Grained Text-Image Person Re-Identification

Published:2023 Issue: Volume:32 Page:6032-6046
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Yan Shuanglin¹^ORCID,Dong Neng¹^ORCID,Zhang Liyan²^ORCID,Tang Jinhui¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10304579.pdf?arnumber=10304579

Reference66 articles.

1. Deep Residual Learning for Image Recognition

2. Language Person Search with Mutually Connected Classification Loss

3. TIPCB: A simple but effective part-based convolutional baseline for text-based person search

4. Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

5. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc North Amer Chapter Assoc Comput Linguistics (NAACL),2019

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