QiGSAN: A Novel Probability-Informed Approach for Small Object Segmentation in the Case of Limited Image Datasets

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Detalles Bibliográficos
Publicado en:	Big Data and Cognitive Computing vol. 9, no. 9 (2025), p. 239-264
Autor principal:	Gorshenin Andrey
Otros Autores:	Dostovalova Anastasia
Publicado:	MDPI AG
Materias:	Machine learning Datasets Accuracy Pixels Image resolution Fields (mathematics) Image segmentation Unmanned aerial vehicles Graph neural networks Artificial neural networks Synthetic aperture radar Neural networks High resolution Data processing Architecture Computer vision Semantic segmentation Radar imaging Image processing Loss reduction Efficiency Semantics
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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