Analysis of Semi-Supervised Methods for Facial Expression Recognition

Analysis of Semi-Supervised Methods for Facial Expression Recognition

31 July 2022

Shuvendu Roy

Papers citing "Analysis of Semi-Supervised Methods for Facial Expression Recognition"

5 / 5 papers shown

Title
Face Trees for Expression Recognition Mojtaba Kolahdouzi Alireza Sepas-Moghaddam Ali Etemad CVBM 17 8 0 05 Dec 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 231 862 0 15 Oct 2021
Spatiotemporal Contrastive Learning of Facial Expressions in Videos Shuvendu Roy Ali Etemad 34 17 0 06 Aug 2021
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing Alireza Sepas-Moghaddam Ali Etemad F. Pereira P. Correia CVBM 32 34 0 10 Jan 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017