Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks

Abstract Saudi Arabic Sign Language (SArSL) recognition poses significant challenges due to its complex spatio-temporal structure and the scarcity of annotated datasets. This paper introduces a self-supervised learning framework built upon the Video Momentum Contrast (VideoMoCo) paradigm integrated...

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Váldodahkkit:	Mahmoud Rokaya, Dalia I. Hemdan, Mohammed A. Alzain, Ibrahim Gad, El-Sayed Atlam
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2025-11-01
Ráidu:	Scientific Reports
Fáttát:	Arabic sign language recognition VideoMoCo Self-Supervised learning 3D convolutional neural networks Contrastive learning Saudi arabic sign language (ArSL)
Liŋkkat:	https://doi.org/10.1038/s41598-025-23494-x
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