Dynamic and static models for real-time facial emotion recognition
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Updated
Aug 2, 2024 - Jupyter Notebook
Dynamic and static models for real-time facial emotion recognition
Face Expression Recognition with ensemble for InceptionV3, ResNet50, MobileNetV2
In this repo, I implemented VGGNet, MobileNet and AlexNet and compared their performance on Emotion Detection Task using AffectNet dataset.
The PyTorch implementation of Discriminant Distribution-Agnostic loss (DDA loss)
batch transformer for emotion recognition (IEEE ACCESS)
An academic research project for comparative analysis of deep learning models in facial emotion recognition.
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