Semi-Supervised Semantic Segmentation for Identification of Irrelevant Objects in a Waste Recycling Plant

Semi-Supervised Semantic Segmentation for Identification of Irrelevant Objects in a Waste Recycling Plant

In waste recycling plants, measuring the waste volume and weight at the beginning of the treatment process is key for a better management of resources. This task can be conducted by using orthophoto images, but it is necessary to remove from those images the objects, such as containers or trucks, th...

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Bibliographic Details
Main Authors: César Domínguez, Jónathan Heras, Eloy Mata, Vico Pascual, Lucas Fernández-Cedrón, Marcos Martínez-Lanchares, Jon Pellejero-Espinosa, Antonio Rubio-Loscertales, Carlos Tarragona-Pérez
Format: Article
Language:English
Published: Graz University of Technology 2023-05-01
Series:Journal of Universal Computer Science
Subjects:
Waste management
Semantic Segmentation
Deep Lear
Online Access:https://lib.jucs.org/article/87643/download/pdf/

Internet

https://lib.jucs.org/article/87643/download/pdf/

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