Privileged Knowledge Distillation for Dimensional Emotion Recognition in the Wild

Author:

Aslam Muhammad Haseeb1,Osama Zeeshan Muhammad1,Pedersoli Marco1,Koerich Alessandro L.1,Bacon Simon2,Granger Eric1

Affiliation:

1. ETS Montreal,LIVIA, Dept. of Systems Engineering,Canada

2. Concordia University,Dept. of Health, Kinesiology & Applied Physiology,Montreal,Canada

Publisher

IEEE

Reference35 articles.

1. Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

2. Progressive privileged knowledge distillation for online action detection

3. ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

4. Facial affect recognition in the wild using multi-task learning convolutional network;zhang,2020

5. Attention bottlenecks for multimodal fusion;nagrani;Advances in neural information processing systems,2021

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1. Weakly privileged learning with knowledge extraction;Pattern Recognition;2024-09

2. A gradual self distillation network with adaptive channel attention for facial expression recognition;Applied Soft Computing;2024-08

3. Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

4. Human Perception Mechanism based CNN-RNN Framework for Dimensional Emotion Recognition;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

5. Multimodal Isotropic Neural Architecture with Patch Embedding;Neural Information Processing;2023-11-14

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