https://github.com/siam1251/HandGestureRecognition
공식 코드Human Computer Interaction Using Marker Based Hand Gesture Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Human Computer Interaction Using Marker Based Hand Gesture Recognition
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
ContactGen: Generative Contact Modeling for Grasp Generation
Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
Monocular Expressive Body Regression through Body-Driven Attention
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
Low-latency hand gesture recognition with a low resolution thermal imager
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.