Find Gold in Sand: Fine-Grained Similarity Mining for Domain-Adaptive Crowd Counting-Reference-Cited by-同舟云学术

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Find Gold in Sand: Fine-Grained Similarity Mining for Domain-Adaptive Crowd Counting

Published:2023 Issue: Volume: Page:1-13
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhu Huilin¹^ORCID,Yuan Jingling¹^ORCID,Zhong Xian¹^ORCID,Liao Liang²^ORCID,Wang Zheng³^ORCID

Affiliation:

1. Hubei Key Laboratory of Transportation Internet of Things, School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. School of Computer Science, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

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/ielx7/6046/4456689/10272678.pdf?arnumber=10272678

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