UnetDVH-Linear: Linear Feature Segmentation by Dilated Convolution with Vertical and Horizontal Kernels

Linear feature extraction is crucial for special objects in semantic segmentation networks, such as slot marking and lanes. The objects with linear characteristics have global contextual information dependency. It is very difficult to capture the complete information of these objects in semantic seg...

Descripción completa

Detalles Bibliográficos
Autores principales: Liao, Jiacai, Cao, Libo, Li, Wei, Luo, Xiaole, Feng, Xiexing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600783/
https://www.ncbi.nlm.nih.gov/pubmed/33050546
http://dx.doi.org/10.3390/s20205759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600783/
https://www.ncbi.nlm.nih.gov/pubmed/33050546
http://dx.doi.org/10.3390/s20205759

Ejemplares similares