利用CNN和Haar级联的面部表情识别

ferplus 开源项目推荐(13 个)
ferplus 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 13
GitHub 共 13 个仓库,已全部展示A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels.
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.
facial emotion recognition used in a website made with react
Facial Emotion Recognition Project: A custom ResNet18 implementation using Keras with Random Erasing data augmentation on the FER2013 dataset with FER+ annotation.
This repository contains my solution to the Real-Time Facial Expression Recognition problem. It can distinguish between 8 types of human facial expressions.
Comprehensive deep learning pipeline for real-time facial emotion detection using FERPlus dataset, CNN architectures, and interactive deployment interface.
Detect emotion with FER+
Facial Expression Recognition using ResNet-18 in PyTorch. Trained and tested on RAFDB and FERPlus
Real-time facial emotion recognition from a webcam: ResNet-18 fine-tuned on FER+ (85.2% test accuracy), YuNet face detection, PyTorch + OpenCV.
🎭 Real-time facial emotion recognition in the browser — CNNs trained from scratch on FER+ and RAF-DB (PyTorch → ONNX, WebGPU). 89.2% on the FER+ test set.
Occluded facial expression recognition using contrastive learning to improve performance on occluded images while retaining performance on non-occluded ones.
Mask-CAM: self-supervised soft masking for interpretable facial emotion recognition. M.Sc. thesis, Tribhuvan University, 2026.
关于这个话题
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- 当前 13 个项目累计 138 Star,覆盖 4 种主要语言,数据更新于 2026-11-10。
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