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Object-Based Augmentation for Building Semantic ...
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由 S Illarionova 著作2021被引用 24 次 — We used 955 build- ings for training and 226 for validation from Ventura and. 282 buildings from Santa-Rosa for the test (see Table 4). Objects' ...
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Object-Based Augmentation for Building Semantic ...
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由 S Illarionova 著作2021被引用 24 次 — This study focuses on the development and testing of object-based augmentation. The practical usefulness of the developed augmentation technique is shown in the ...
Object-Based Augmentation for Building Semantic ...
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由 S Illarionova 著作2021被引用 24 次 — This study focuses on the development and testing of object-based augmentation. The practical usefulness of the developed augmentation technique is shown in ...
Ventura and Santa Rosa Case Study | Request PDF
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2024年12月14日 — The object-based augmentation approach has been previously proposed for the remote sensing domain in [37] for solving segmentation tasks.
ICCV 2021 Open Access Repository
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Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. Svetlana Illarionova,. Sergey Nesteruk,. Dmitrii Shadrin ...
Object-Based Augmentation Improves Quality of Remote ...
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2021年5月12日 — Conference Paper. Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. October 2021.
Skolkovo institute of science and technology
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由 S Illarionova 著作被引用 24 次 — Object-Based Augmentation for Building Semantic. Segmentation: Ventura and Santa Rosa Case Study. This study focuses on the development and testing of object ...
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Sergey Nesteruk
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Object-based augmentation for building semantic segmentation: Ventura and santa rosa case study. S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, ...
data-augmentation-review/papers.md at master
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List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Dmitrii Shadrin
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Object-based augmentation for building semantic segmentation: Ventura and santa rosa case study. S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M ...