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Relational Action Bank with Semantic–Visual Attention for Few-Shot Action Recognition

Recently, few-shot learning has attracted significant attention in the field of video action recognition, owing to its data-efficient learning paradigm. Despite the encouraging progress, identifying ways to further improve the few-shot learning performance by exploring additional or auxiliary inform...

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Bibliografiske detaljer
Principais autores: Haoming Liang, Jinze Du, Hongchen Zhang, Bing Han, Yan Ma
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-03-01
Serier:Future Internet
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Online adgang:https://www.mdpi.com/1999-5903/15/3/101
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