SOTAVerified

3D Action Recognition

Image: Rahmani et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 91 papers

TitleStatusHype
Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action RecognitionCode0
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition—0
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition—0
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner—0
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition—0
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization—0
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural ActivitiesCode0
Spatial-Temporal Transformer for 3D Point Cloud Sequences—0
Unsupervised View-Invariant Human Posture Representation—0
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning—0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
VI-Net: View-Invariant Quality of Human Movement Assessment—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition—0
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action RecognitionCode0
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation—0
CoSimGNN: Towards Large-scale Graph Similarity Computation—0
Combining Deep Learning Classifiers for 3D Action Recognition—0
Mimetics: Towards Understanding Human Actions Out of Context—0
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues—0
Order-Preserving Wasserstein Discriminant Analysis—0
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference JointsCode0
DWnet: Deep-Wide Network for 3D Action Recognition—0
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action RecognitionCode0
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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