Facial Expression Recognition with Tensorflow using pre-trained models
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Updated
Oct 23, 2022 - Jupyter Notebook
Facial Expression Recognition with Tensorflow using pre-trained models
The PyTorch implementation of Discriminant Distribution-Agnostic loss (DDA loss)
Facial Expression Recognition using ResNet-18 in PyTorch. Trained and tested on RAFDB and FERPlus
Occluded facial expression recognition using contrastive learning to improve performance on occluded images while retaining performance on non-occluded ones.
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