AU_Recognition based on CKPlus/CK database
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Updated
Mar 29, 2018 - Jupyter Notebook
AU_Recognition based on CKPlus/CK database
This is the code repository of model TDGAN. Paper: Facial Expression Recognition with Two-branch Disentangled Generative Adversarial Network.
Real-time facial emotion, age, and gender detection using CNNs, OpenCV, and Keras. Powered by CK+ and UTKFace datasets.
EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.
Emotion recognition from facial images using convolutional neural networks.
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