There are 1 repository under fer topic.
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
FERAtt: Facial Expression Recognition with Attention Net
Deep Attentive Center Loss
Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
Lightweight Facial Expression(emotion) Recognition model
A Pytorch Implementation of FER( facial expression recognition )
We present our facial expression recognition models for fer-2013 dataset
It's a project of facial emotion recognition.
Recognising expression/emotion of unique faces in a video
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.
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.
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.
Framework for neuroevolution of output functions
Introduction to Java Programming Language @ FER, UniZG
Experience EmoPy's Facial Expression Recognition from the browser
Build a Face Emotion Recognition (FER) Algorithm
Data Rate Change Algorithms for an Efficient HF Communication
CNN (Convolutional neural network)-based facial expression recognition model (with pretrained weights) implemented with Pytorch
Programming Language Translation @ FER, UniZG
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
FER - Facial Expression Recognition
This is a fork of usef-kh/fer. We made an application for emotion recognition.
Testing the Facial Emotion Recognition (FER) algorithm on animations
TensorFlow is used to build the Facial Expression Recognition (FER) model, which predicts human expression.
Programming Language Translation FER labs
Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework
ros2_foxy_facial_expressions