Multi-Output Learning Based on Multimodal GCN and Co-Attention for Image Aesthetics and Emotion Analysis

With the development of social networks and intelligent terminals, it is becoming more convenient to share and acquire images. The massive growth of the number of social images makes people have higher demands for automatic image processing, especially in the aesthetic and emotional perspective. Bot...

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Autori principali:	Haotian Miao, Yifei Zhang, Daling Wang, Shi Feng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-06-01
Serie:	Mathematics
Soggetti:	image aesthetics and emotion analysis multi-out learning image semantic recognition multimodal learning Graph Convolutional Network co-attention
Accesso online:	https://www.mdpi.com/2227-7390/9/12/1437
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