Facial Attribute Recognition Using Lightweight Multi-Label CNN-Transformer Architecture for Intelligent Advertising
Author:
Affiliation:
1. University of Ulsan,Department of Electrical, Electronic and Computer Engineering,Ulsan,Korea
2. Universitas Sam Ratulangi,Department of Electrical Engineering,Manado,Indonesia
Funder
National Research Foundation of Korea
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10311571/10311610/10312105.pdf?arnumber=10312105
Reference28 articles.
1. Segment-Based Methods for Facial Attribute Detection from Partial Faces
2. Multi-task learning of cas-caded cnn for facial attribute classification;zhuang;2018 24th International Conference on Pattern Recognition (ICPR) IEEE,0
3. Low-cost managed digital signage system with signage device using small-sized and low-cost information device
4. Multi-Zone Transformer Based on Self-Distillation for Facial Attribute Recognition
5. Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification
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2. Simultaneous Facial Age Group and Gender Recognition using Efficient Local-Global Attention Network for Intelligent Advertising;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18
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