Activity Recognition on NTU RGB+D

Metric: Cross Subject Accuracy (higher is better)

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#	Model↕	Cross Subject Accuracy▼	Extra Data	Paper	Date↕	Code
1	Kinet	92.3	No	No Pain, Big Gain: Classify Dynamic Point Cloud ...	2022-03-21	Code
2	PSTNet++	91.4	No	-	-	Code
3	PSTNet	90.5	No	PSTNet: Point Spatio-Temporal Convolution on Poi...	2022-05-27	Code
4	P4Transformer	90.2	No	-	-	Code
5	3DV-PointNet++	88.8	No	3DVNet: Multi-View Depth Prediction and Volumetr...	2021-12-01	Code

#1KinetSOTA
92.3
Cross Subject Accuracy· 2022-03-21
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces Code
#2PSTNet++
91.4
Cross Subject Accuracy
No paperCode
#3PSTNet
90.5
Cross Subject Accuracy· 2022-05-27
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Code
#4P4Transformer
90.2
Cross Subject Accuracy
No paperCode
#53DV-PointNet++SOTA
88.8
Cross Subject Accuracy· 2021-12-01
3DVNet: Multi-View Depth Prediction and Volumetric Refinement Code