Weed Classification Using Explainable Multi-Resolution Slot Attention

In agriculture, explainable deep neural networks (DNNs) can be used to pinpoint the discriminative part of weeds for an imagery classification task, albeit at a low resolution, to control the weed population. This paper proposes the use of a multi-layer attention procedure based on a transformer com...

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Detalles Bibliográficos
Autores principales: Farkhani, Sadaf, Skovsen, Søren Kelstrup, Dyrmann, Mads, Jørgensen, Rasmus Nyholm, Karstoft, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538865/
https://www.ncbi.nlm.nih.gov/pubmed/34695919
http://dx.doi.org/10.3390/s21206705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538865/
https://www.ncbi.nlm.nih.gov/pubmed/34695919
http://dx.doi.org/10.3390/s21206705

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