Listar por autor "Salas Espinales, Andrés"
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SAR Nets: An Evaluation of Semantic Segmentation Networks with Attention Mechanisms for Search and Rescue Scenes.
Salas Espinales, Andrés; Vázquez-Martín, Ricardo
; García-Cerezo, Alfonso José; Mandow, Anthony (2023)
This paper evaluates four semantic segmentation models in Search-and-Rescue (SAR) scenarios obtained from ground vehicles. Two base models are used (U-Net and PSPNet) to compare different approaches to semantic segmentation, ... -
U-Net/ResNet-50 Network with Transfer Learning for Semantic Segmentation in Search and Rescue.
Salas Espinales, Andrés; Vélez-Chávez, Elián; Vázquez-Martín, Ricardo; García-Cerezo, Alfonso José; Mandow, Anthony (Springer Nature, 2024-04-27)
Semantic segmentation has been successfully adopted for scenarios such as indoor, outdoor, urban scenes, and synthetic scenes, but applications with scarce labeled data such as search-and-rescue (SAR), have not been ...