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Found 1 papers, 1 papers with code
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
In this work, we propose ResEmoteNet, a novel deep learning architecture for facial emotion recognition designed with the combination of Convolutional, Squeeze-Excitation (SE) and Residual Networks.
Ranked #1 on
Facial Expression Recognition (FER)
on FER2013
(using extra training data)
Facial Emotion Recognition
Facial Expression Recognition (FER)
