MFAFNet: A Lightweight and Efficient Network with Multi-Level Feature Adaptive Fusion for Real-Time Semantic Segmentation

Currently, real-time semantic segmentation networks are intensely demanded in resource-constrained practical applications, such as mobile devices, drones and autonomous driving systems. However, most of the current popular approaches have difficulty in obtaining sufficiently large receptive fields,...

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Detalles Bibliográficos
Autores principales: Lu, Kai, Cheng, Jieren, Li, Hua, Ouyang, Tianyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384613/
https://www.ncbi.nlm.nih.gov/pubmed/37514676
http://dx.doi.org/10.3390/s23146382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384613/
https://www.ncbi.nlm.nih.gov/pubmed/37514676
http://dx.doi.org/10.3390/s23146382

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