SOTAVerified

3D Action Recognition

Papers

Showing 125 of 91 papers

TitleStatusHype
A System for Real-Time Interactive Analysis of Deep Learning TrainingCode2
Unsupervised Learning of Object Keypoints for Perception and ControlCode1
3DVNet: Multi-View Depth Prediction and Volumetric RefinementCode1
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton SequencesCode1
Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud VideosCode1
On the Utility of 3D Hand Poses for Action RecognitionCode1
PSTNet: Point Spatio-Temporal Convolution on Point Cloud SequencesCode1
Reconstructing undersampled photoacoustic microscopy images using deep learningCode1
Real-time 3D human action recognition based on Hyperpoint sequenceCode1
Masked Motion Predictors are Strong 3D Action Representation LearnersCode1
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time SurfacesCode1
BABEL: Bodies, Action and Behavior with English LabelsCode1
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action RecognitionCode1
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual DistillationCode1
Revisiting Skeleton-based Action RecognitionCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Grad-CAM++: Improved Visual Explanations for Deep Convolutional NetworksCode1
Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action RecognitionCode1
Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal DecompositionCode1
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action RecognitionCode1
TSM: Temporal Shift Module for Efficient Video UnderstandingCode1
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action RecognitionCode1
Domain Knowledge-Informed Self-Supervised Representations for Workout Form AssessmentCode1
3DV: 3D Dynamic Voxel for Action Recognition in Depth VideoCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
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Benchmark Results

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