人脸识别之表情识别项目相关源码

Use a deep learning model to predict facial expressions from a videostream

Fer2013 Facial Expression Recognition Keras

Use CenterLoss , IslandLoss at solve the Facial Expression Recognition task. (Use FER2013 Dataset)

基于ResNet50在RAF-DB数据集上的人脸情绪识别

This code is using FER2013 dataset with keras library and tensorflow backend. This code was fork and modified for keras with tensorflow backend from https://github.com/LamUong/FacialExpressionRecognition

Experiments with multiple classifiers to classify facial expressions

This is an reimplement of the work Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. This code is based on the original author's code with the following changes. Thanks, Kai Wang.

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Contrast multiple facial expression recognition experiments and found that using SVM instead of softmax layer can achieve better classification results(65.47% accuracy on fer2013 dataset).

Facial Expression Recognition 表情识别

study of deep learning and facial expression recognition and it is implemented on MATLAB

A facial expression recognition model using CNN

Deep learning for the facial expression recognition kaggle challenge

FER Experiment Code

FacialExpressionRecognition

Implementation of Facial Expression Recognition for senior capstone project.

This project is a deep learning-based facial expression recognition system implemented using PyTorch. It can classify facial expressions into seven different emotions: angry, disgust, fear, happy, neutral, sad, and surprise.

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大创项目

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Detect standard facial expressions in the face images

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FacialExpressionRecognition-Weapp

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CNN recognising facial expressions in real time based on CK+48. Tuned using bayesian optimisation.

Using Keras Layers and OpenCV, this python project will identify the Different Human Facial Expressions.

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