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10 ta ish

Ish: SKELETON-BASED HUMAN ACTION RECOGNITION USING SPATIO-TEMPORAL LATENT FEATURES WITH A GCN MODEL

  1. MaxViT: Multi-axis Vision Transformer

    Zhengzhong Tu, Hossein Talebi, Han Zhang +4

    Bob20223 iqtibos
    ABI

  2. Skeleton-Based Action Recognition With Shift Graph Convolutional Network

    Ke Cheng, Yifan Zhang, Xiangyu He +3

    Maqola20202 iqtibos
    ABI

  3. Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey

    Tasweer Ahmad, Lianwen Jin, Xin Zhang +3

    Maqola20212 iqtibos
    ABI

  4. Human Action Recognition From Various Data Modalities: A Review

    Zehua Sun, Qiuhong Ke, Hossein Rahmani +3

    Sharh maqola20222 iqtibos
    ABI

  5. Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition

    Wentian Xin, Yi Liu, Ruyi Liu +3

    Bob20232 iqtibos
    ABI

  6. Spatio-temporal invariant descriptors for skeleton-based human action recognition

    Aouaidjia Kamel, Chongsheng Zhang, Ioannis Pitas

    Maqola20252 iqtibos
    ABI

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

    Ruyi Liu, Yi Liu, Mengyao Wu +4

    Maqola20252 iqtibos
    ABI

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

    Kabul Khudaybergenov, Avazjon Marakhimov, Zahriddin Muminov

    MaqolaHuman Pose and Action RecognitionHimičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management20251 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI