ThelR547v1-An Asymmetric Dilated Convolutional Neural Network for Real-time Semantic Segmentation of Horticultural Crops.

Islam, Md Parvez; Hatou, Kenji; Aihara, Takanori; Kawahara, Masaki; Okamoto, Soki; Senoo, Shuhei; Sumire, Kirino

Islam, Md Parvez; Hatou, Kenji; Aihara, Takanori; Kawahara, Masaki; Okamoto, Soki; Senoo, Shuhei; Sumire, Kirino.

Afiliação

Islam MP; The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Hatou K; Graduate School of Agriculture, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Aihara T; The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Kawahara M; Graduate School of Agriculture, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Okamoto S; The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Senoo S; Graduate School of Agriculture, Ehime University, Matsuyama 790-8566, Ehime, Japan.
Sumire K; Graduate School of Agriculture, Ehime University, Matsuyama 790-8566, Ehime, Japan.

Sensors (Basel) ; 22(22)2022 Nov 15.

Article em En | MEDLINE | ID: mdl-36433404

Assuntos

Processamento de Imagem Assistida por Computador; Semântica; Humanos; Processamento de Imagem Assistida por Computador/métodos; Redes Neurais de Computação; Produtos Agrícolas; Horticultura

Palavras-chave

asymmetric; dilated convolution; multi-branch; semantic segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Processamento de Imagem Assistida por Computador Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

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