Chinese, Japanese, and Korean Face Classification by Fusion of Multi-layers Channel Attention and Mutual Channel Loss-Reference-Cited by-同舟云学术

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Chinese, Japanese, and Korean Face Classification by Fusion of Multi-layers Channel Attention and Mutual Channel Loss

Published:2023-09-22 Issue: Volume:1 Page:297-303
ISSN:
Container-title:Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum
language:
Short-container-title:

Author:

Gao Xinyao¹^ORCID,Lan Zhangli¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Chongqing Jiaotong University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3660395.3660447

Reference15 articles.

1. Developing real-time training dataset for human racial classification

2. Human and Machine Vision Based Indian Race Classification Using Modified-Convolutional Neural Network

3. Are Morphs a Valid Substitute for Real Multiracial Faces in Race Categorization Research?

4. Multi-National Face Classification and Recognition Based on MobileNet Network

5. Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning

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