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Theophilus-Dwamena / facial-emotional-recognition-fer-with-cnn-resnet-vit-on-rafdata

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Comparative study of Custom CNN, ResNet-50, and ViT-B/16 for 7-class facial emotion recognition on RAF-DB · PyTorch

computer-vision deep-learning cnn pytorch image-classification transfer-learning data-augmentation residual-learning resnet-50 cnn-classification fer2013 skip-connections facial-emotion-recognition rafdb rafdb-dataset vision-transformer
  • Updated May 19, 2026
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Karamjodh / FER_XAI

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A deep learning project for 7-class Facial Expression Recognition with post-hoc explainability using LIME and SHAP. Two CNN architectures — ResNet-50 and EfficientNet-B0 — are trained and evaluated on FER2013 and RAF-DB, with pixel-level and region-level explanations generated for every prediction.

numpy cuda cnn torch pandas seaborn matplotlib transfer-learning lime fer2013 resnet50 shap efficientnet rafdb cosineannealingwarmrestarts freezing-layer
  • Updated May 24, 2026
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