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ABAW2023DMACS

This is the official code for our submission in the expression track of ABAW 2023 competition as a part of CVPR 2023.

Title: ABAW : FACIAL EXPRESSION RECOGNITION IN THE WILD

Abstract:The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has multiple challenges such as Valence-Arousal Estimation Challenge, Expression Classification Challenge, Action Unit Detection Challenge, Emotional Reaction Intensity Estimation Challenge. In this paper we have dealt only expression classification challenge using multiple approaches such as fully supervised, semi-supervised and noisy label approach. Our approach using noise aware model has performed better than baseline model by 10.46% and semi supervised model has performed better than baseline model by 9.38% and the fully supervised model has performed better than the baseline by 9.34%.

Link to the paper : http://arxiv.org/abs/2303.09785

Link to checkpoints: https://drive.google.com/drive/folders/1qJVFG-QgpMCOLVovLwLF3mgYdBEi_ArX?usp=sharing

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This is the official code for our submission in the expression track of ABAW 2023 competition as a part of CVPR 2023.

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