Skeleton Based Action Recognition On Jhmdb 2D

Average accuracy of 3 splits

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
HT-ConvNet	86.1	Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity Recognition
DD-Net	77.2	Make Skeleton-based Action Recognition Model Smaller, Faster and Better
JMRN (No GT pose)	68.55	Pose And Joint-Aware Action Recognition
PoTion	67.9	PoTion: Pose MoTion Representation for Action Recognition
EHPI	65.5	Simple yet efficient real-time pose-based action recognition
Chained	56.8	Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection

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