SOTAVerified

3D Action Recognition

Image: Rahmani et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 91 papers

TitleStatusHype
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
Localized Trajectories for 2D and 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
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Order-Preserving Wasserstein Discriminant Analysis—0
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition—0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
Histogram of Oriented Principal Components for Cross-View Action Recognition—0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
A Compact Kernel Approximation for 3D Action Recognition—0
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data—0
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition—0
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
Combining Deep Learning Classifiers for 3D Action Recognition—0
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner—0
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks—0
Show:102550
← PrevPage 2 of 4Next →
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