Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns

Deep learning has shown potential in domains with large-scale annotated datasets. However, manual annotation is expensive, time-consuming, and tedious. Pixel-level annotations are particularly costly for semantic segmentation in images with dense irregular patterns of object instances, such as in pl...

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Detalles Bibliográficos
Autores principales: Najafian, Keyhan, Ghanbari, Alireza, Sabet Kish, Mahdi, Eramian, Mark, Shirdel, Gholam Hassan, Stavness, Ian, Jin, Lingling, Maleki, Farhad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013790/
https://www.ncbi.nlm.nih.gov/pubmed/36930764
http://dx.doi.org/10.34133/plantphenomics.0025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013790/
https://www.ncbi.nlm.nih.gov/pubmed/36930764
http://dx.doi.org/10.34133/plantphenomics.0025

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