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Hand

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MindSpore-scientific/code-11/tree/main/Simba

SIMBA: Specific Identity Markers for Bone Age Assessment

https://github.com/MindSpore-scientific/code-13/tree/main/Simba

SIMBA: Specific Identity Markers for Bone Age Assessment

https://github.com/NVlabs/6dof-graspnet

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

https://github.com/Neilblaze/Aerowave

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/OanaIgnat/i3d_keras

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/OlineRanum/SAPA

Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison

https://github.com/PPPrior/i3d-pytorch

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/Plrbear/HGR-Net

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

https://github.com/RenFeiTemp/murauer/tree/master/source/my_net

Learning Pose Specific Representations by Predicting Different Views

https://github.com/RonLek/FastV2C-HandNet

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

https://github.com/ShobhitMaheshwari/sign-language1

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/StanfordVL/RubiksNet

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/Wavelet303/HAMR

End-to-end Hand Mesh Recovery from a Monocular RGB Image

https://github.com/YangYangTaoTao/V2V-PoseNet_Pytorch

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/ZJUT-ERCISS/zjut_mindvideo/blob/master/msvideo/models/i3d.py

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/adnanalam53/cycleGAN

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/ahsaniqbal/Kinetics-FeatureExtractor

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/aim3-ruc/youmakeup_challenge2022

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/ajdillhoff/colorhandpose3d-pytorch

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/ajdillhoff/simgan-pytorch

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/akanazawa/hmr

End-to-end Recovery of Human Shape and Pose

https://github.com/anilarmagan/HANDS19-Challenge-Toolbox

End-to-end Recovery of Human Shape and Pose

https://github.com/anonymous-p/Flickering_Adversarial_Video

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/ashkanpakzad/atn

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/aurooj/Hand-Segmentation-in-the-Wild

Analysis of Hand Segmentation in the Wild

https://github.com/balala8/FastViT_pytorch

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/bnestor/second-hand-rl

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/bo-zhang-cs/CACNet-Pytorch

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

https://github.com/boukhayma/3dhand

3D Hand Shape and Pose from Images in the Wild

https://github.com/carpedm20/simulated-unsupervised-tensorflow

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/chandragupta0001/Radar/tree/master/TinyRadarNN

TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars

https://github.com/charliememory/Disentangled-Person-Image-Generation

Disentangled Person Image Generation

https://github.com/chriswegmann/drone_steering

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

https://github.com/chuanqichen/deepcoaching

Pose Guided Person Image Generation

https://github.com/damien911224/theWorldInSafety

Two-Stream Convolutional Networks for Action Recognition in Videos

https://github.com/daniansan/i3d_mindspore

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.