Our submission for 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) : 2021
CCT: Consensual Collaborative Training and Knowledge Distillation based Facial Expression Recognition under Noisy Annotations
Arxhiv paper: http://arxiv.org/abs/2107.05736
Our proposed CCT framework
CCT involves co-training of three networks θ1, θ2 and θ3 jointly using a convex combination of supervision loss and consistency loss. Consensus is built by aligning the posterior distributions (shown as dotted red curves between p1, p2 and p3 ) using consistency loss. Dynamic weighing factor(λ) that balances both the losses is given by Gaussian like ramp-up function.
Checkpoints: https://drive.google.com/drive/folders/1VdJ05RJ7IwIJGUF5rInwhI_wKSt5WKoQ?usp=sharing
Citation: Darshan Gera, S. Balasubramanian "Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations" International Journal of Engineering Trends and Technology 69.7(2021):244-254. DOI: 10.14445/22315381/IJETT-V69I7P231
Authors: Darshan Gera and Dr. S. Balasubramanian, SSSIHL.
Any queries please mail to: darshangera@sssihl.edu.in.
Acknowledgments: We dedicate this work to Bhagawan Sri Sathya Sai Baba, Divine Founder Chancellor of Sri Sathya Sai Institute of Higher Learning, PrasanthiNilyam, A.P., India.