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

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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Bibliographic Details
Main Authors:	Haoming Liang, Jinze Du, Hongchen Zhang, Bing Han, Yan Ma
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Future Internet
Subjects:	semantic attention visual attention relational action bank few-shot learning action recognition
Online Access:	https://www.mdpi.com/1999-5903/15/3/101

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