ck-plus

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Rupam-web190 / facial-emotion-recognition-au-landmarks

Comparative study of 7 CNN architectures for facial expression recognition using generic vs. Action Unit (FACS)-aligned facial-landmark regions — shared vs. landmark-specific backbones, feature-vector vs. feature-map fusion, and 3D convolution, evaluated on RAF-DB and CK+. IEEE CIS Kolkata internship project.

computer-vision deep-learning cnn pytorch ieee affective-computing facial-expression-recognition emotion-recognition facial-landmarks action-units facs feature-fusion mediapipe raf-db ck-plus

Updated Sep 16, 2026
Python

j1s4nn / FER_2026

Star

Controlled comparison of 7 models (ResNet50, EfficientNetB0, VGG16, MobileNetV2, custom CNN + KNN/SVM baselines) for 7-class facial expression recognition on CK+ under one identical training protocol.

computer-vision deep-learning scikit-learn pytorch resnet transfer-learning gradio facial-expression-recognition efficientnet ck-plus

Updated Sep 16, 2026
Python

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