PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning

Author:

Tang Yang1,Zeng Wangding1,Zhao Dafei2,Zhang Honggang1

Affiliation:

1. Beijing University of Posts and Telecommunications

2. University of Ottawa

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference50 articles.

1. Efficientnet: Rethinking model scaling for convolutional neural networks;tan,2019

2. Jâa-net: Joint facial action unit detection and face alignment via adaptive attention;shao;International Journal of Computer Vision,2020

3. You Only Look Once: Unified, Real-Time Object Detection

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1. Toward Robust Facial Action Units’ Detection;Proceedings of the IEEE;2023-10

2. Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

3. FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

4. Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection;IEEE Transactions on Image Processing;2023

5. Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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