Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model

Autonomous underwater garbage grasping and collection pose a great challenge to underwater robots. To assist underwater robots in locating and recognizing underwater garbage objects efficiently, a modified U-Net-based architecture consisting of a deeper contracting path and an expansive path is prop...

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Detalles Bibliográficos
Autores principales: Wei, Lifu, Kong, Shihan, Wu, Yuquan, Yu, Junzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460826/
https://www.ncbi.nlm.nih.gov/pubmed/36081003
http://dx.doi.org/10.3390/s22176546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460826/
https://www.ncbi.nlm.nih.gov/pubmed/36081003
http://dx.doi.org/10.3390/s22176546

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