SOTAVerified

3D Action Recognition

Papers

Showing 71–80 of 91 papers

TitleStatusHype
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
Unsupervised View-Invariant Human Posture Representation—0
VI-Net: View-Invariant Quality of Human Movement Assessment—0
Spatial-Temporal Transformer for 3D Point Cloud Sequences—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition—0
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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