Stars
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)
Attention temporal convolutional network for EEG-based motor imagery classification
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm a…
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more…
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
RepVGG: Making VGG-style ConvNets Great Again
收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization
[CVPR 2022] Focal Length and Object Pose Estimation via Render and Compare
yolov5人体检测+openpose姿态检测 实现摔倒检测
Implement of Openpose use Tensorflow
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
Library for Fast and Flexible Human Pose Estimation
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
Multi Person Skeleton Based Action Recognition and Tracking
Real-time pose estimation accelerated with NVIDIA TensorRT
Three steps to train your own model for action recognition based on CNN and LSTM by PyTorch.
PyTorch implementation of the OpenPose
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
A toolbox for skeleton-based action recognition.
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.