Spatial–Temporal Heatmap Masked Autoencoder for Skeleton-Based Action Recognition

Skeleton representation learning offers substantial advantages for action recognition by encoding intricate motion details and spatial–temporal dependencies among joints. However, fully supervised approaches necessitate large amounts of annotated data, which are often labor-intensive and costly to a...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 25; no. 10; p. 3146
Main Authors:	Bian, Cunling, Yang, Yang, Wang, Tao, Lu, Weigang
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 16.05.2025 MDPI
Subjects:	Artificial intelligence Comparative analysis Computer vision Human acts Human behavior Identification and classification Machine learning Machine vision masked autoencoder Methods Neural networks self-supervised learning Semantics skeleton-based action recognition spatial–temporal heatmap visual transformer China masked autoencoder self-supervised learning skeleton-based action recognition spatial–temporal heatmap visual transformer
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!