Contrastive Mask Learning for Self-Supervised 3D Skeleton-Based Action Recognition
Contrastive Mask Learning for Self-Supervised 3D Skeleton-Based Action Recognition
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
In this paper, we propose a contrastive mask learning (CML) method for self-supervised 3D skeleton-based action recognition. Specifically, the mask modeling mechanism is integrated into multi-level contrastive learning with the aim of forming a mutually beneficial learning scheme from both contrastive learning and masked skeleton reconstruction. Th...
Alternative Titles
Full title
Contrastive Mask Learning for Self-Supervised 3D Skeleton-Based Action Recognition
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7cfa836396cd48938e40a49e38dcb1e2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7cfa836396cd48938e40a49e38dcb1e2
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25051521
