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LLaVA-ポーズ:人間のポーズと行動を理解するためのキーポイント統合のインストラクション

Dewen Zhang1, Tahir Hussain1, Wangpeng An2

  • 1Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究では,人間の姿勢と行動を理解するための視覚言語モデル (VLMs) を改善するために,キーポイント統合データを導入しています. この特殊なデータセットの微調整により,人間中心のタスクの VLM のパフォーマンスは大幅に向上します.

キーワード:
人間の姿勢と行動の理解指示に従うデータキーポイント統合データ生成マルチモダルのインストラクションチューニング視覚 言語 モデル

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