A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
人脸识别之表情识别项目相关源码
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
Facial expression recognition deep learning examples
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
A landmark-driven method on Facial Expression Recognition (FER)
A real-time facial expression recognition system with webcam streaming and CNN
facial expression recognition with Pytorch
Joint Pose and Expression Modeling for Facial Expression Recognition
Lightweight Facial Expression(emotion) Recognition model
FERAtt: Facial Expression Recognition with Attention Net
Facial expression recognition with ASM and Gabor
ICPR 2020: Facial Expression Recognition using Residual Masking Network
A Facial Expression Recognition Classifier with Pytorch
A Pytorch Implementation of FER( facial expression recognition )
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
QLZM - an image representation for facial expression recognition.
“Former-DFER: Dynamic Facial Expression Recognition Transformer”, ACM Multimedia, 2021.
This is our collected datasets for challenge condition facial expression recognition
Facial Expression Recognition with a deep neural network as a PyPI package
😁[VCIP'19 Oral] Official PyTorch Implementation of Facial Motion Prior Networks for Facial Expression Recognition
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)