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Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization
Researchers have adapted the conventional deep learning classification networks to generate Fully Conventional Networks (FCN) for carrying out accurate semantic segmentation. However, such models are expensive both in terms of storage and inference time and not readily employable on edge devices. In...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897161/ https://www.ncbi.nlm.nih.gov/pubmed/36778195 http://dx.doi.org/10.1007/s00521-023-08324-3 |