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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/graphormer
https://github.com/3d-hand-shape/hand-graph-cnn
https://github.com/3huo/Hand-Pointnet
https://github.com/674106399/JointBoneLoss
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/AbdurrahmanNadi/activity_recognition_web_service
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/AlbertoSabater/Domain-and-View-point-Agnostic-Hand-Action-Recognition
https://github.com/AlexHex7/SimGAN_pytorch
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/AlextheEngineer/Ego2Hands
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
https://github.com/Alexyuda/action_recognition
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/ArashHosseini/hand-graph-cnn-gpu
https://github.com/B1ueber2y/NDiv
https://github.com/Blitzkrieg37/Kinesic
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
https://github.com/Blueprintf/pointlstm-gesture-recognition-pytorch
https://github.com/BlurryLight/DD-Net-Pytorch
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
https://github.com/CMU-CREATE-Lab/deep-smoke-machine
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
https://github.com/Chenzhoujia/190916-hand3d-CNN-GNN
https://github.com/DaphneAntotsiou/task-oriented-hand-retargeting
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
https://github.com/EAST-J/Youtubehand
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/FrederikSchorr/sign-language
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/HsinYingLee/OPN
Two-Stream Convolutional Networks for Action Recognition in Videos
https://github.com/JeffCHEN2017/WSSTG
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/KingGugu/I3D
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/LEChaney/Real-time-SSAR
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
https://github.com/LawrenceZ22/ThermoHands
ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images
https://github.com/Liuxiang0358/HMR
https://github.com/LukasHedegaard/co3d
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/MS-P3/code5/tree/main/graphormer
https://github.com/MandyMo/pytorch_HMR
https://github.com/ManifoldFR/recvis-project
https://github.com/MarkoLewis-Projects/Sign_language_detection
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/Michaelgod/test
Two-Stream Convolutional Networks for Action Recognition in Videos
https://github.com/MindCode-4/code-1/tree/main/vit_hybrid
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
https://github.com/MindSpore-paper-code-2/code3/tree/main/trn
https://github.com/MindSpore-paper-code-3/code4/tree/main/HMR
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.