TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification-Reference-Cited by-同舟云学术

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TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification

Published:2023 Issue: Volume: Page:1-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Liu Hai¹^ORCID,Zhang Cheng¹,Deng Yongjian²^ORCID,Xie Bochen³^ORCID,Liu Tingting⁴^ORCID,Zhang Zhaoli¹^ORCID,Li You-Fu³^ORCID

Affiliation:

1. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China

2. College of Computer Science, Beijing University of Technology, Beijing, China

3. Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong

4. School of Education, Hubei University, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Research Grants Council of Hong Kong

Science and Technology Development Fund, Macau

Fundamental Research Funds for the Central Universities

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/ielx7/6046/4456689/10023961.pdf?arnumber=10023961

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