SOTAVerified

3D Action Recognition

Papers

Showing 61–70 of 91 papers

TitleStatusHype
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks—0
Learning clip representations for skeleton-based 3d action recognition—0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions—0
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines—0
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition—0
Grad-CAM++: Improved Visual Explanations for Deep Convolutional NetworksCode1
A Compact Kernel Approximation for 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