SOTAVerified

3D Action Recognition

Image: Rahmani et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 91 papers

TitleStatusHype
Leolani: a reference machine with a theory of mind for social communicationCode0
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural ActivitiesCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Investigation of Different Skeleton Features for CNN-based 3D Action RecognitionCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisCode0
Recognizing Involuntary Actions from 3D Skeleton Data Using Body StatesCode0
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action RecognitionCode0
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action RecognitionCode0
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference JointsCode0
Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action RecognitionCode0
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time WarpingCode0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version)—0
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition—0
Kernelized Covariance for Action Recognition—0
Learning clip representations for skeleton-based 3d action recognition—0
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition—0
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks—0
3D Action Recognition From Novel Viewpoints—0
Localized Trajectories for 2D and 3D Action Recognition—0
DWnet: Deep-Wide Network for 3D Action Recognition—0
Mimetics: Towards Understanding Human Actions Out of Context—0
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation—0
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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