SOTAVerified

Skeleton Based Action Recognition

Skeleton-based Action Recognition is a computer vision task that involves recognizing human actions from a sequence of 3D skeletal joint data captured from sensors such as Microsoft Kinect, Intel RealSense, and wearable devices. The goal of skeleton-based action recognition is to develop algorithms that can understand and classify human actions from skeleton data, which can be used in various applications such as human-computer interaction, sports analysis, and surveillance.

( Image credit: View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 419 papers

TitleStatusHype
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action RecognitionCode1
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition—0
Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action DetectionCode0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation—0
An Improved Graph Pooling Network for Skeleton-Based Action Recognition—0
HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action RecognitionCode1
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition—0
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action RecognitionCode0
Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition—0
LLMs are Good Action Recognizers—0
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action RecognitionCode2
GCN-DevLSTM: Path Development for Skeleton-Based Action RecognitionCode1
Skeleton-Based Human Action Recognition with Noisy LabelsCode0
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner—0
SkateFormer: Skeletal-Temporal Transformer for Human Action RecognitionCode2
Taylor Videos for Action RecognitionCode1
Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition—0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition—0
Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition—0
BlockGCN: Redefine Topology Awareness for Skeleton-Based Action RecognitionCode2
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning—0
Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton SequenceCode0
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton ModalitiesCode1
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action RecognitionCode0
Show:102550
← PrevPage 3 of 17Next →

No leaderboard results yet.