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Video Action Recognition Using Motion and Multi-View Excitation with Temporal Aggregation

Spatiotemporal and motion feature representations are the key to video action recognition. Typical previous approaches are to utilize 3D CNNs to cope with both spatial and temporal features, but they suffer from huge computations. Other approaches are to utilize (1+2)D CNNs to learn spatial and temp...

詳細記述

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書誌詳細
主要な著者: Yuri Yudhaswana Joefrie, Masaki Aono
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2022-11-01
シリーズ:Entropy
主題:
オンライン・アクセス:https://www.mdpi.com/1099-4300/24/11/1663
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