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Updated: Jan 14, 2026

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SkelFormer: 人間のアクション認識のための骨格グラフ上の適応的階層的トランスフォーマーベースのアプローチ

Jiexing Yan1, Xi Zhang2, Caiyan Tan3

  • 1College of Military and Political Basic Education, National University of Defense Technology, Changsha, China.

PloS one
|January 12, 2026
PubMed
まとめ

SkelFormerは、時空間的変動を捉えることにより、ヒト骨格ベースのアクション認識を強化します。この新しいフレームワークは、階層的表現を効果的に抽出し、複雑なアクションの理解を向上させます。

キーワード:
アクション認識骨格グラフトランスフォーマー時空間的特徴階層的表現

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