david-on-code Goto Github PK
Name: David
Type: User
Bio: learn code
Location: shanghai
Name: David
Type: User
Bio: learn code
Location: shanghai
PyTorch-based CNN implementation for estimating age from face images
Think
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑
读过的计算机视觉论文以及文献总结汇报
Facial Expression Recognition (FER) based on VGG16
video analysis 60
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“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.
基于Resnet-50的表情评分
Facial Expression Recognition (Fer2013) using aggregated CNN/VGG models with SIFT/DSIFT descriptors
Facial recognition model that combines CNN, rotation-invariant texture feature (RITF) and scale-invariant feature transform (SIFT) features to get 99% accuracy on LFW dataset
segmentation and color classification
Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'
🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)
Facial expression recognizition
Smallest ellipse covering a finite set of points
“Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild”, TIP 2021.
使用GitHub的md
CapsuleNet for Micro-expression Recognition (IEEE FG 2019)
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images
基于多特征融合的微表情识别
transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
一个基于django的博客系统、集成了xadmin功能、文章列表页、详情页、发表文章、评论文章、编辑文章、邮箱和账号都能验证登录功能、注册利用celery+redis异步发送验证邮件激活账号功能、下载可用
小作业 使用遗传算法和OTSU做图像分割
《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book
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