Learning Local Attention With Guidance Map for Pose Robust Facial Expression Recognition

Author:

Cho Sunyoung1ORCID,Lee Jwajin1ORCID

Affiliation:

1. Defense Artificial Intelligence Center, Agency for Defense Development, Daejeon, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference47 articles.

1. Facial expression recognition with inconsistently annotated datasets;zeng;Proc Eur Conf Comput Vis,2018

2. Neural Aggregation Network for Video Face Recognition

3. Deep learning for facial action unit detection under large head poses;tösér;Proc Eur Conf Comput Vis,2016

4. Deep learning using linear support vector machines;tang;Proc Int Conf Mach Learn,2013

5. Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks

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1. From methods to datasets: a detailed study on facial emotion recognition;Applied Intelligence;2023-11-15

2. Multi-scale and Feature Fusion for Expression Recognition Networks;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

3. Attention-Enabled Lightweight Neural Network Architecture for Detection of Action Unit Activation;IEEE Access;2023

4. Pose Face Recognition Based on Supervised Subspace Learning;2022 IEEE 8th International Conference on Computer and Communications (ICCC);2022-12-09

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