office365developor's Stars
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
WindowsAddict/IDM-Activation-Script
An open source tool to activate and reset trial of Internet Download Manager
PKU-YuanGroup/repaint123
Official implementation of Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting (ECCV 2024)
yelboudouri/EmoNeXt
Code for the paper: "EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition"
xxgege/NICO-plus
The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
kaigelee/CSFCN
Real-time Semantic Segmentation
LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch
This method achieves SOTA single model accuracy of 73.70 % on FER2013 without using extra training data.
kaiwang960112/Self-Cure-Network
This is a novel and easy method for annotation uncertainties.
kaiwang960112/Challenge-condition-FER-dataset
This is our collected datasets for challenge condition facial expression recognition
usef-kh/fer
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
shanglianlm0525/PyTorch-Networks
Pytorch implementation of cnn network
hangyu94/Ada-CM
“Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin”, CVPR 2022.
zhuchenxv/Facial-Expression-Recognition-Adversarial
CS420 SJTU Project
scp19801980/Facial-expression-recognition
For the facial expression recognition task in complex backgroud, wo proposed a new method based on a multiple branch cross-connected convolutional neural network (MBCC-CNN) for facial expression recognition. The proposed method can fuse the features of each branches more effectively, which solves the problem of insufficient feature extraction of each branches and increases the recognition performance.
ReturnYG/MER2
Simple and easy to use micro-expression recognition application.
zczcwh/POSTER
code for: POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
Leonard-Niu/Facial-Expression-Recognition
A Pytorch Implementation of FER( facial expression recognition )
liminze/Real-time-Facial-Expression-Recognition-and-Fast-Face-Detection
Real-time facial expression recognition and fast face detection based on Keras CNN. Training and testing on both Fer2013 and CK+ facial expression data sets have achieved good results. The speed is 78 fps on NVIDIA 1080Ti. If only face detection is performed, the speed can reach 158 fps. Finally, an emotional monitoring system was developed based on it.
anhtuan85/Facial-expression-recognition
Facial expression recognition using Pytorch on FER2013 dataset and create simple app with streamlit
yoshidan/pytorch-facial-expression-recognition
Lightweight Facial Expression(emotion) Recognition model
Baticsute/Facial_Expression_Recognition_FER2013
Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .
omarsayed7/Deep-Emotion
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
phamquiluan/ResidualMaskingNetwork
ICPR 2020: Facial Expression Recognition using Residual Masking Network
luanshiyinyang/FacialExpressionRecognition
人脸识别之表情识别项目相关源码
WuJie1010/Facial-Expression-Recognition.Pytorch
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
EvelynFan/AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
biubug6/Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
kevinnaguirre9/facial-emotion-recognition-app
🔭 Real-time Streamlit Facial Emotion Recognition web application to monitor student's mood in a classroom
kdhht2334/awesome-SOTA-FER
A curated list of facial expression recognition in both 7-emotion classification and affect estimation.
liuhw01/AMP-Net
Adaptive multi-layer perceptual attention network for facial expression recognition, TCSVT, 2022