Multi-Zone Transformer Based on Self-Distillation for Facial Attribute Recognition-Reference-Cited by-同舟云学术

Multi-Zone Transformer Based on Self-Distillation for Facial Attribute Recognition

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)
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Author:

Chen Si¹,Zhu Xueyan¹,Wang Da-Han¹,Zhu Shunzhi¹,Wu Yun¹

Affiliation:

1. Fujian Key Laboratory of Pattern Recognition and Image Understanding, School of Computer and Information Engineering, Xiamen University of Technology,Xiamen,China,361024

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10042469/10042499/10042513.pdf?arnumber=10042513

Reference29 articles.

1. SGDR: stochastic gradient descent with warm restarts;loshchilov;Proceedings of the International Conference on Learning Representations,2017

2. Deep Learning Face Attributes in the Wild

3. Segment-Based Methods for Facial Attribute Detection from Partial Faces

4. Multi-level knowledge distillation for low-resolution object detection and facial expression recognition

5. Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification

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