S2A: Scale-Attention-Aware Networks for Video Super-Resolution

Convolutional Neural Networks (CNNs) have been widely used in video super-resolution (VSR). Most existing VSR methods focus on how to utilize the information of multiple frames, while neglecting the feature correlations of the intermediate features, thus limiting the feature expression of the models...

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Detalles Bibliográficos
Autores principales: Guo, Taian, Dai, Tao, Liu, Ling, Zhu, Zexuan, Xia, Shu-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619237/
https://www.ncbi.nlm.nih.gov/pubmed/34828096
http://dx.doi.org/10.3390/e23111398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619237/
https://www.ncbi.nlm.nih.gov/pubmed/34828096
http://dx.doi.org/10.3390/e23111398

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