Emotion Recognition with Facial Attention and Objective Activation Functions

Andrzej Miskow, Abdulrahman Altahhan
10/23/2024
cs.CVcs.AI

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Abstract

In this paper, we study the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM, to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task. We show that not only attention can significantly improve the performance of these models but also that combining them with a different activation function can further help increase the performance of these models.

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Cite this paper

@article{miskow2024emotion,
  title  = {Emotion Recognition with Facial Attention and Objective Activation Functions},
  author = {Andrzej Miskow and Abdulrahman Altahhan},
  year   = {2024},
  eprint = {2410.17740},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.17740v1}
}

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