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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2022
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| Materias: | |
| 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 |