Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition-Reference-Cited by-同舟云学术

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Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition

Published:2020 Issue: Volume:29 Page:265-276
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Jiang Shuqiang^ORCID,Min Weiqing,Liu Linhu,Luo Zhengdong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

National Program for Special Support of Eminent Professionals and National Program for Support of Top-notch Young Professionals

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/08779586.pdf?arnumber=8779586

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2. A Deep Learning Approach for Fruit Recognition and Nutrition Detection;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

3. Lightweight Food Recognition via Aggregation Block and Feature Encoding;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-07-22

4. Understanding cheese ripeness: An artificial intelligence-based approach for hierarchical classification;Knowledge-Based Systems;2024-07

5. Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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