AN INFINITELY SCALABLE DATASET OF SINGLE-POLYGON GRAYSCALE IMAGES AS A FAST TEST PLATFORM FOR SEMANTIC IMAGE SEGMENTATION

Background. Every new semantic image segmentation task requires fine-tuning the segmentation network architecture that is very hard to perform on images of high resolution, which may contain many categories and involve huge computational resources. So, the question is whether it is possible to test...

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Autor principal:	Vadim V. Romanuke
Format:	Artigo
Idioma:	Inglês
Publicat:	Igor Sikorsky Kyiv Polytechnic Institute 2019-02-01
Col·lecció:	KPI Science News
Matèries:	Semantic image segmentation Dataset Polygonal object Transparent background Augmentation Segmentation network architecture
Accés en línia:	http://scinews.kpi.ua/article/view/157259
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