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PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution

Research on image-inpainting tasks has mainly focused on enhancing performance by augmenting various stages and modules. However, this trend does not consider the increase in the number of model parameters and operational memory, which increases the burden on computational resources. To solve this p...

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Detalles Bibliográficos
Autores principales: Ko, Jaekyun, Choi, Wanuk, Lee, Sanghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575462/
https://www.ncbi.nlm.nih.gov/pubmed/37837143
http://dx.doi.org/10.3390/s23198313