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

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Bibliographic Details
Published in:	Big Data and Cognitive Computing vol. 9, no. 9 (2025), p. 239-264
Main Author:	Gorshenin Andrey
Other Authors:	Dostovalova Anastasia
Published:	MDPI AG
Subjects:	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
Online Access:	Citation/Abstract Full Text + Graphics Full Text - PDF
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