SOTAVerified

3D Action Recognition

Image: Rahmani et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–91 of 91 papers

TitleStatusHype
DWnet: Deep-Wide Network for 3D Action Recognition—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos—0
Fusing multiple features for depth-based action recognition—0
Global Context-Aware Attention LSTM Networks for 3D Action Recognition—0
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation—0
CoSimGNN: Towards Large-scale Graph Similarity Computation—0
3D Action Recognition From Novel Viewpoints—0
HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition—0
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization—0
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks—0
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues—0
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning—0
Spatial-Temporal Transformer for 3D Point Cloud Sequences—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version)—0
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition—0
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition—0
Unsupervised View-Invariant Human Posture Representation—0
VI-Net: View-Invariant Quality of Human Movement Assessment—0
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions—0
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines—0
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks—0
Recognizing Involuntary Actions from 3D Skeleton Data Using Body StatesCode0
NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference JointsCode0
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action RecognitionCode0
Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action RecognitionCode0
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural ActivitiesCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Leolani: a reference machine with a theory of mind for social communicationCode0
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action RecognitionCode0
Investigation of Different Skeleton Features for CNN-based 3D Action RecognitionCode0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time WarpingCode0
Show:102550
← PrevPage 2 of 2Next →
All datasetsAssembly101NTU RGB+D100 sleep nights of 8 caregivers

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HandFormer-B/21Actions Top-141.06—Unverified
2TSMActions Top-135.27—Unverified
3RGBPoseConv3DActions Top-133.61—Unverified
4MS-G3DActions Top-128.7—Unverified
5ISTA-NetActions Top-128.07—Unverified
6CHASE(CTR-GCN)Actions Top-128.03—Unverified
72s-AGCNActions Top-126.7—Unverified
#ModelMetricClaimedVerifiedStatus
1KinetCross Subject Accuracy92.3—Unverified
2PSTNet++Cross Subject Accuracy91.4—Unverified
3PSTNetCross Subject Accuracy90.5—Unverified
4P4TransformerCross Subject Accuracy90.2—Unverified
53DV-PointNet++Cross Subject Accuracy88.8—Unverified
#ModelMetricClaimedVerifiedStatus
1htf10%4—Unverified