Contrastive Mask Learning for Self-Supervised 3D Skeleton-Based Action Recognition

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 contrasti...

詳細記述

書誌詳細

出版年:	Sensors
第一著者:	Haoyuan Zhang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-02-01
主題:	self-supervised learning contrastive mask learning 3D skeleton action recognition
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/5/1521