Работы, цитирующие эту работу

Работ: 2

Работа: SG-CLR: Semantic representation-guided contrastive learning for self-supervised skeleton-based action recognition

1. SPATIO-TEMPORAL GCN WITH SOFTMAX CLASSIFIER FOR SKELETON-BASED HUMAN ACTION RECOGNITION

   Kabul Khudaybergenov, Avazjon Marakhimov, Zahriddin Muminov

   СтатьяHuman Pose and Action RecognitionHimičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.003246

2. SKELETON-BASED HUMAN ACTION RECOGNITION USING SPATIO-TEMPORAL LATENT FEATURES WITH A GCN MODEL

   Avazjon Marakhimov, Kabul Khudaybergenov, Mominov Zakhriddin

   СтатьяHuman Pose and Action RecognitionHimičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017265