A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs

Nowadays, visual encoding models use convolution neural networks (CNNs) with outstanding performance in computer vision to simulate the process of human information processing. However, the prediction performances of encoding models will have differences based on different networks driven by differe...

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Detalles Bibliográficos
Autores principales: Yu, Ziya, Zhang, Chi, Wang, Linyuan, Tong, Li, Yan, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416280/
https://www.ncbi.nlm.nih.gov/pubmed/32802150
http://dx.doi.org/10.1155/2020/5408942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416280/
https://www.ncbi.nlm.nih.gov/pubmed/32802150
http://dx.doi.org/10.1155/2020/5408942

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