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 276–300 of 419 papers

TitleStatusHype
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning—0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)—0
Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks—0
Skeleton-Based Online Action Prediction Using Scale Selection Network—0
Relational Network for Skeleton-Based Action Recognition—0
SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-supervised Skeleton Action Recognition—0
Skeletonnet: Mining deep part features for 3-d action recognition—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Sparse Semi-Supervised Action Recognition with Active Learning—0
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition—0
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition—0
Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition—0
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition—0
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition—0
SpatioTemporal Focus for Skeleton-based Action Recognition—0
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition—0
Spatiotemporal graph routing for skeleton-based action recognition—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction—0
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition—0
Temporal Extension Module for Skeleton-Based Action Recognition—0
Temporal Graph Modeling for Skeleton-based Action Recognition—0
Show:102550
← PrevPage 12 of 17Next →

No leaderboard results yet.