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

https://github.com/moberweger/deep-prior-pp

공식 코드

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

https://github.com/moberweger/semi-auto-anno

공식 코드

Efficiently Creating 3D Training Data for Fine Hand Pose Estimation

https://github.com/moranli-aca/LearnableGroups-Hand

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Exploiting Learnable Joint Groups for Hand Pose Estimation

https://github.com/mosamdabhi/3dlfm

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3D-LFM: Lifting Foundation Model

https://github.com/mpuu00001/robustness-evaluation-in-hand-pose-estimation

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Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing

https://github.com/mrezaei92/TriHorn-Net

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TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation

https://github.com/mvig-sjtu/artiboost

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ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

https://github.com/nerminsamet/HPRNet

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HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

https://github.com/nickgkan/orange

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Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation

https://github.com/nielsschluesener/fast-learning-hand-gesture-recognition

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Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models

https://github.com/nikhil-garg/EMG_exp

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Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition

https://github.com/nsantavas/Attention-A-Lightweight-2D-Hand-Pose-Estimation-Approach

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Attention! A Lightweight 2D Hand Pose Estimation Approach

https://github.com/okankop/MFF-pytorch

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Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition

https://github.com/openvinotoolkit/training_extensions

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LIGAR: Lightweight General-purpose Action Recognition

https://github.com/otaheri/GRAB

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GRAB: A Dataset of Whole-Body Human Grasping of Objects

https://github.com/outsiders17711/e2eet-skeleton-based-hgr-using-data-level-fusion

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Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN

https://github.com/peabrane/pleiades

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TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials

https://github.com/pengfeiren96/dir

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Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image

https://github.com/pooyafayyaz/fingerspelling-posenet

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Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models

https://github.com/postech-ami/fastmetro

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Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers

https://github.com/pulp-platform/pulp-transformer

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Optimizing the Deployment of Tiny Transformers on Low-Power MCUs

https://github.com/r00tman/EventHands

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EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream

https://github.com/rafaeelaudibert/FINNger

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FINNger -- Applying artificial intelligence to ease math learning for children

https://github.com/razvancaramalau/Sequential-GCN-for-Active-Learning

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Sequential Graph Convolutional Network for Active Learning

https://github.com/razvancaramalau/al_bhpe

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Active Learning for Bayesian 3D Hand Pose Estimation

https://github.com/redorangeyellowy/AttentionHand

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AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

https://github.com/riyadRafiq/wearable-latent-embedding-exploitation

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Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation

https://github.com/rolpotamias/WiLoR

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WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild

https://github.com/rongakowang/deepsimho

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DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation

https://github.com/rongakowang/densemutualattention

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Interacting Hand-Object Pose Estimation via Dense Mutual Attention

https://github.com/rwightman/pytorch-image-models

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FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

https://github.com/rzy0901/testspectrogram

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CASTER: A Computer-Vision-Assisted Wireless Channel Simulator for Gesture Recognition

https://github.com/sandipan211/zsugr

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Zero-Shot Underwater Gesture Recognition

https://github.com/scenediffuser/Scene-Diffuser

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Diffusion-based Generation, Optimization, and Planning in 3D Scenes

https://github.com/shichengchen/multiviewdataset

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Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation

https://github.com/shreyashampali/kypt_transformer

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Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation

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