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

Internet

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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