Data Structure ?
1.88G
Data Structure ?
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README.md
ADHA：「人間の行動を記述する副詞」は、新しい問題の最初の基準であり、人間行動副詞（HAA）を識別するものです。これは、コンピュータビジョンがパターン認識から本格的なAIへと転換する第一歩です。 ADHAのいくつかの重要な機能には、人間の行動を記述するための意味的に完全な副詞セット、一般的で記述可能な一連の人間の行動、および各ビデオに同時に出現する行動を網羅的にラベル付けすることが含まれます。動作認識と字幕認識における画像字幕の現在の有効なモデルの実装について詳細な分析を行った結果、この方法は実行不可能であることが示されました。さらに、我々はこれらのモデルで表現知識を使用し、それがHAA認識性能を大幅に向上させることを示しました。
ADHAデータセットには、11736個の短いビデオと、32の動作からなる動作セットおよび51の副詞からなる副詞セットに関連するラベルが含まれています。データセットでは、半自動アノテーションフレームワークを使用して、対象人物の追跡結果も提供しています。合計16716人がラベル付けされています。
出版物
データセットについてもっと詳しく知りたい場合は、ここで関連する論文をダウンロードできます。
Bibtex
@inproceedings{pang2017adha,
title={人間行動副詞認識：ADHAデータセットとハイブリッドモデル},
author={Pang, Bo と Zha, Kaiwen と Lu, Cewu},
booktitle={arXivプレプリント},
year={2017}
}
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