office365developor

office365developor's Stars

• ramprs/grad-cam

  [ICCV 2017] Torch code for Grad-CAM

  Language:Lua1.5k223

• WindowsAddict/IDM-Activation-Script

  An open source tool to activate and reset trial of Internet Download Manager

  Language:Batchfile5.7k644

• PKU-YuanGroup/repaint123

  Official implementation of Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting (ECCV 2024)

  2656

• yelboudouri/EmoNeXt

  Code for the paper: "EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition"

  Language:Python277

• xxgege/NICO-plus

  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".

  Language:Python333

• kaigelee/CSFCN

  Real-time Semantic Segmentation

  Language:Python491

• LetheSec/Fer2013-Facial-Emotion-Recognition-Pytorch

  This method achieves SOTA single model accuracy of 73.70 % on FER2013 without using extra training data.

  Language:Python7816

• kaiwang960112/Self-Cure-Network

  This is a novel and easy method for annotation uncertainties.

  Language:Python40696

• kaiwang960112/Challenge-condition-FER-dataset

  This is our collected datasets for challenge condition facial expression recognition

  Language:Python25261

• usef-kh/fer

  Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

  Language:Jupyter Notebook9532

• shanglianlm0525/PyTorch-Networks

  Pytorch implementation of cnn network

  Language:Python1.9k486

• hangyu94/Ada-CM

  “Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin”, CVPR 2022.

  Language:Python615

• zhuchenxv/Facial-Expression-Recognition-Adversarial

  CS420 SJTU Project

  Language:Python5

• 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.

  Language:Python91

• ReturnYG/MER2

  Simple and easy to use micro-expression recognition application.

  Language:Python262

• zczcwh/POSTER

  code for: POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition

  Language:Python466

• Leonard-Niu/Facial-Expression-Recognition

  A Pytorch Implementation of FER( facial expression recognition )

  Language:Python284

• 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.

  Language:Python5415

• anhtuan85/Facial-expression-recognition

  Facial expression recognition using Pytorch on FER2013 dataset and create simple app with streamlit

  Language:Python387

• yoshidan/pytorch-facial-expression-recognition

  Lightweight Facial Expression(emotion) Recognition model

  Language:Python588

• 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 .

  Language:Python3413

• omarsayed7/Deep-Emotion

  Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation

  Language:Python23969

• phamquiluan/ResidualMaskingNetwork

  ICPR 2020: Facial Expression Recognition using Residual Masking Network

  Language:Python44790

• luanshiyinyang/FacialExpressionRecognition

  人脸识别之表情识别项目相关源码

  Language:Python663151

• 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

  Language:Python1.8k545

• EvelynFan/AWESOME-FER

  Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)

  914206

• biubug6/Pytorch_Retinaface

  Retinaface get 80.99% in widerface hard val using mobilenet0.25.

  Language:Python2.6k760

• kevinnaguirre9/facial-emotion-recognition-app

  🔭 Real-time Streamlit Facial Emotion Recognition web application to monitor student's mood in a classroom

  Language:Python63

• kdhht2334/awesome-SOTA-FER

  A curated list of facial expression recognition in both 7-emotion classification and affect estimation.

  19317

• liuhw01/AMP-Net

  Adaptive multi-layer perceptual attention network for facial expression recognition, TCSVT, 2022

  Language:Python93