How Useful Is Image-Based Active Learning for Plant Organ Segmentation?

Training deep learning models typically requires a huge amount of labeled data which is expensive to acquire, especially in dense prediction tasks such as semantic segmentation. Moreover, plant phenotyping datasets pose additional challenges of heavy occlusion and varied lighting conditions which ma...

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Detalles Bibliográficos
Autores principales: Rawat, Shivangana, Chandra, Akshay L., Desai, Sai Vikas, Balasubramanian, Vineeth N., Ninomiya, Seishi, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897744/
https://www.ncbi.nlm.nih.gov/pubmed/35280929
http://dx.doi.org/10.34133/2022/9795275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897744/
https://www.ncbi.nlm.nih.gov/pubmed/35280929
http://dx.doi.org/10.34133/2022/9795275

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