jaffe

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AndrzejMiskow / FER-with-Attention-and-Objective-Activation-Functions
This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task.
cbam convolutional-neural-networks image-classification machine-learning eca-net sen-net vggnet ck fer fer2013 jaffe resnet vgg tensorflow
Language:Jupyter Notebook 8
shivani-nandani / emotion-detection
Facial emotion recognition was conducted using CNN and PCA+SVM.
ck-da cnn face-recognition jaffe pca svm
Language:Jupyter Notebook 1
killerzman / AndroidAndPython-DeepCNNFaceRecognitionApp
Android app suited for comparing deep CNN models for face recognition
python tensorflow keras cnn-keras deep-learning android android-studio mobilenet effnet essex jaffe orl
Language:Jupyter Notebook 0

AndrzejMiskow / FER-with-Attention-and-Objective-Activation-Functions