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Low-Cost Optimized U-Net Model with GMM Automatic Labeling Used in Forest Semantic Segmentation
Currently, Convolutional Neural Networks (CNN) are widely used for processing and analyzing image or video data, and an essential part of state-of-the-art studies rely on training different CNN architectures. They have broad applications, such as image classification, semantic segmentation, or face...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648017/ https://www.ncbi.nlm.nih.gov/pubmed/37960690 http://dx.doi.org/10.3390/s23218991 |