BOOSTING SEGMENTATION ACCURACY OF THE DEEP LEARNING MODELS BASED ON THE SYNTHETIC DATA GENERATION

BOOSTING SEGMENTATION ACCURACY OF THE DEEP LEARNING MODELS BASED ON THE SYNTHETIC DATA GENERATION

In the era of data-driven machine learning algorithms, data represents a new oil. The application of machine learning algorithms shows they need large heterogeneous datasets that crucially are correctly labeled. However, data collection and its labeling are time-consuming and labor-intensive process...

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Bibliographic Details
Main Authors: V. V. Danilov, O. M. Gerget, D. Y. Kolpashchikov, N. V. Laptev, R. A. Manakov, L. A. Hérnandez-Gómez, F. Alvarez, M. J. Ledesma-Carbayo
Format: Article
Language:English
Published: Copernicus Publications 2021-04-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/33/2021/isprs-archives-XLIV-2-W1-2021-33-2021.pdf

Internet

https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/33/2021/isprs-archives-XLIV-2-W1-2021-33-2021.pdf

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