Multi-Modal Explicit Sparse Attention Networks for Visual Question Answering

Visual question answering (VQA) is a multi-modal task involving natural language processing (NLP) and computer vision (CV), which requires models to understand of both visual information and textual information simultaneously to predict the correct answer for the input visual image and textual quest...

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Hlavní autoři:	Zihan Guo, Dezhi Han
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-11-01
Edice:	Sensors
Témata:	attention mechanism computer vision natural language processing sparse attention visual question answering
On-line přístup:	https://www.mdpi.com/1424-8220/20/23/6758
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