Multiple Object Detection Based on Clustering and Deep Learning Methods

Multiple object detection is challenging yet crucial in computer vision. In This study, owing to the negative effect of noise on multiple object detection, two clustering algorithms are used on both underwater sonar images and three-dimensional point cloud LiDAR data to study and improve the perform...

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Detalles Bibliográficos
Autores principales: Nguyen, Huu Thu, Lee, Eon-Ho, Bae, Chul Hee, Lee, Sejin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472170/
https://www.ncbi.nlm.nih.gov/pubmed/32784789
http://dx.doi.org/10.3390/s20164424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472170/
https://www.ncbi.nlm.nih.gov/pubmed/32784789
http://dx.doi.org/10.3390/s20164424

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