Topic: fer2013 Goto Github
Some thing interesting about fer2013
Some thing interesting about fer2013
fer2013,Facial Expression Recognition using Deep Learning
User: 121yaseen
fer2013,Facial emotion classifier notebook
Organization: ai6dlproject
fer2013,Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
User: aminehorseman
fer2013,Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
User: aminehorseman
fer2013,Facial Expression Recognition Using CNN and Haar-Cascade
User: amirhossein-hkh
fer2013,Engagement Detection, including facial detection and emotion recognition, using CNNs/LSTMs.
User: amogh7joshi
fer2013,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.
User: andrzejmiskow
fer2013,Facial expression recognition using Pytorch on FER2013 dataset and create simple app with streamlit
User: anhtuan85
fer2013,This project is a custom implementation of VGGNet trained to classify images of faces into 7 classes, representing different emotions.
User: arnavagrawal22
fer2013,Emotion Detection using deep unbaised CNN!!
User: ash1998
Home Page: https://ash1998.github.io/Emotion-detection
fer2013,Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .
User: baticsute
fer2013,Using Keras (Tensorflow), CNN and OpenCV, this model accurately identifies emotions from facial expressions in real-time video streams.
User: bharat1611
fer2013,This repository contains the approach and code used by me, in implementing this project. This is also my final year project of my engineering curriculum.
User: bumblebee26
fer2013,facial emotion recognition used in a website made with react
User: clementreiffers
Home Page: https://clementreiffers.github.io/emotion-recognition-website-react/
fer2013,The purpose of this project was to simply test a CNN model on a competition FER2013 dataset.
User: daconjam
fer2013,Conditional Cycle-Consistent Generative Adversarial Networks (CCycleGAN)
User: gtesei
fer2013,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).
User: hxer7963
fer2013,Facial Emotion Classifier
User: jacobpolloreno
fer2013,A human emotion recognition based learning assistant. HACKOH/IO - 2019
User: jaydeepthik
fer2013,Deep Learning -Facial expression recognition -caffe -fer2013
User: jing2018
fer2013,Facial Expression Recognition with a deep neural network as a PyPI package
User: justinshenk
fer2013,A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
User: lwachowiak
fer2013,Examining different architectures of famous artificial intelligence networks using fer2013 dataset
User: mahdiasdzd
fer2013,A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels.
User: mahmoudsabra1
fer2013,Train a CNN to recognize facial expressions.
User: mainakdeb
fer2013,This GitHub repository hosts a Facial Emotion Recognition project that utilizes Convolutional Neural Networks (CNNs) to detect emotions from facial expressions in real-time. Built with Python, TensorFlow, Keras, and OpenCV, the project includes scripts for training the emotion detection model using the FER 2013 dataset and testing it with live webc
User: manasipandit48
fer2013,Facial Expression Recognition
User: mayurmadnani
fer2013,Learn facial expressions from an image, using the FER-2013 Dataset.
User: mudasark
fer2013,AI based emotions and english fluency checking from the input video..
User: neel7317
fer2013,🐵 Face Expression Classification using Convolutional-Neural Networks (CNN) 🔥 using fer2013 dataset 🚀
User: officialpm
fer2013,Pytorch model for classification
User: pedrodiamel
fer2013,ICPR 2020: Facial Expression Recognition using Residual Masking Network
User: phamquiluan
Home Page: https://ieeexplore.ieee.org/document/9411919
fer2013,We present our facial expression recognition models for fer-2013 dataset
User: pooya-mohammadi
fer2013,A landmark-driven method on Facial Expression Recognition (FER)
User: rainbowrui
fer2013,fer2013 Competition Dataset is used to train the model which predicts facial expressions
User: rajwardhanshinde
fer2013,A Deep Learning application to recognize emotion from facial expressions.
User: samvenkatesh
fer2013,A Face Emotion Recognizer
User: shrenik-jain
fer2013,FER model uses Convolutional Neural Network algorithm trained on FER2013 dataset to recognize five universal emotions of the Facial Action Coding System. It can detect multiple faces with exceptionally outstanding results. (IEEE Published)
User: shubs044
Home Page: https://ieeexplore.ieee.org/abstract/document/9404561
fer2013,FER - Facial Expression Recognition
User: singavi
fer2013,A CNN deep learning case study to classify 7 labeled human facial expressions using multiple models and ensemble approach.
Organization: sjsums
fer2013,Detects the facial emotions using fer2013 datasets with a keras CNN model and openCV.
User: sudarshana2000
fer2013,emotion classification using fer2013 datasets with a Tensorflow CNN model.
User: talkuhulk
fer2013,An emotions based music application
User: thevirinchi
fer2013,Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
User: usef-kh
fer2013,Emotion classifier implemented in pytorch
User: vtuanpham
fer2013,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
User: wujie1010
fer2013,real-time face detection and emotion classification
User: xiuweihe
fer2013,Lightweight Facial Expression(emotion) Recognition model
User: yoshidan
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