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wUUNet: Advanced Fully Convolutional Neural Network for Multiclass Fire Segmentation
2021
Symmetry
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The UNet model is used as a baseline for the initial solution because it is the best open-source convolutional neural network. There is no available open dataset for multiclass fire segmentation. ...
This article describes an AI-based solution to multiclass fire segmentation. The flame contours are divided into red, yellow, and orange areas. ...
Discussion This article describes a detailed solution to multiclass fire image segmentation using an advanced neural-network architecture known as UNet. ...
doi:10.3390/sym13010098
fatcat:ss5tqqk2lza2bd4hp3uajoyllm
СЕГМЕНТАЦИЯ ПЛАМЕНИ НА ИЗОБРАЖЕНИИ С ИСПОЛЬЗОВАНИЕМ СВЁРТОЧНОЙ НЕЙРОННОЙ СЕТИ U-NET
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The article will consider convolutional neural networks for identifying a flame in an image. The U-net archi-tecture will be used as the main algorithm for implementing flame segmentation. ...
WUUNet: Advanced fully convolutional neural network for multiclass fire segmentation // Symmetry. -2021. -Vol. 13. -No 1. -P. 1-18. -DOI 10.3390/sym13010098. 9. ...
Использование свёрточных нейронных сетей (англ. convolutional neural network, CNN) позволяет решить данную задачу. CNN -является подразделом искусственных нейронных сетей. ...
doi:10.24412/3453-9875-2021-64-31-33
fatcat:5oxz5to6cfgg5ni77wefargjjm