Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation

arXiv:2502.12535 · cs.CV · Submitted 2025-02-18 · Read on arXiv

cs.CV

Submitted: 2025-02-18

Updated: 2025-02-18

Code: https://github.com/openmmlab/mmpose

Terminology

• Latent Space — 29× in this paper · explained in 7 episodes
• Representation Learning — 24× in this paper · explained in 2 episodes
• Contrastive Learning — 20× in this paper · explained in 5 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Transformer — 12× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 10× in this paper
• Masked Image Modeling — 7× in this paper
• Consistency — 6× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 5× in this paper
• Self-Supervised Learning — 5× in this paper · explained in 8 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 3× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• MPJPE Mean Per Joint Position Error — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes

Sources

• Masked Autoencoders Are Scalable Vision Learners
• Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
• Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
• MediaPipe: A Framework for Building Perception Pipelines
• Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
• PeCLR: Self-Supervised 3D Hand Pose Estimation from monocular RGB via Equivariant Contrastive Learning
• RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
• ViTPose++: Vision Transformer for Generic Body Pose Estimation
• iBOT: Image BERT Pre-Training with Online Tokenizer

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