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Weakly Supervised Collaborative Learning for Airborne Pollen Segmentation and Classification from SEM Images
Existing pollen identification methods heavily rely on the scale and quality of pollen images. However, there are many impurities in real-world SEM images that should be considered. This paper proposes a collaborative learning method to jointly improve the performance of pollen segmentation and clas...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867018/ https://www.ncbi.nlm.nih.gov/pubmed/36676197 http://dx.doi.org/10.3390/life13010247 |