SOTAVerified

3D Action Recognition

Image: Rahmani et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 91 papers

TitleStatusHype
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks—0
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition—0
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner—0
Order-Preserving Wasserstein Discriminant Analysis—0
Combining Deep Learning Classifiers for 3D Action Recognition—0
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition—0
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories—0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions—0
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition—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
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization—0
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
A Compact Kernel Approximation for 3D Action Recognition—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
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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