keep-learning-cmd Goto Github PK
Name: keeplearning
Type: User
Name: keeplearning
Type: User
audio-vidual attention fusion
Submission to ABAW2 Competition: Feature Pyramid Network for Multi-task Affective Analysis
ECCV Workshop
“Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin”, CVPR 2022.
AFAR: A Deep Learning Based Toolbox for Automated Facial Affect Recognition
Algorithm practice
收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等,帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
A list of multi-task learning papers and projects.
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition (AGRA, ACM 2020, Oral)
This is our collected datasets for challenge condition facial expression recognition
Implementation of Convolutional LSTM in PyTorch.
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
This repository contains the code for our Information Fusion paper "End-to-end multimodal affect recognition in real-world environments"
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
:fire: 2D and 3D Face alignment library build using pytorch
Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)
Face Analysis: Detection, Age Gender Estimation & Recognition
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction (CVPR2020)
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
Code implementation of CFNet
code for paper "Co-attentive multi-task convolutional neural network for facial expression recognition"
“CRS-CONT: A Well-Trained General Encoder for Facial Expression Analysis”, IEEE TIP 2022.
“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.
Official implementation of the ECCV2022 paper: Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
“Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild”, TIP 2021.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.