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HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

Crowd counting is a challenging task due to large perspective, density, and scale variations. CNN-based crowd counting techniques have achieved significant performance in sparse to dense environments. However, crowd counting in high perspective-varying scenes (images) is getting harder due to differ...

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書誌詳細
主要な著者: Naveed Ilyas, Boreom Lee, Kiseon Kim
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2021-05-01
シリーズ:Sensors
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オンライン・アクセス:https://www.mdpi.com/1424-8220/21/10/3483
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