Representation Learning for Fine-Grained Change Detection

Fine-grained change detection in sensor data is very challenging for artificial intelligence though it is critically important in practice. It is the process of identifying differences in the state of an object or phenomenon where the differences are class-specific and are difficult to generalise. A...

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Detalles Bibliográficos
Autores principales: Mahony, Niall O’, Campbell, Sean, Krpalkova, Lenka, Carvalho, Anderson, Walsh, Joseph, Riordan, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271830/
https://www.ncbi.nlm.nih.gov/pubmed/34209075
http://dx.doi.org/10.3390/s21134486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271830/
https://www.ncbi.nlm.nih.gov/pubmed/34209075
http://dx.doi.org/10.3390/s21134486

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