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Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping

The rise of self-supervised learning (SSL) methods in recent years presents an opportunity to leverage unlabeled and domain-specific datasets generated by image-based plant phenotyping platforms to accelerate plant breeding programs. Despite the surge of research on SSL, there has been a scarcity of...

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Detalles Bibliográficos
Autores principales:	Ogidi, Franklin C., Eramian, Mark G., Stavness, Ian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079263/ https://www.ncbi.nlm.nih.gov/pubmed/37040288 http://dx.doi.org/10.34133/plantphenomics.0037

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