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

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Xehetasun bibliografikoak
Argitaratua izan da:	Big Data and Cognitive Computing vol. 9, no. 9 (2025), p. 239-264
Egile nagusia:	Gorshenin Andrey
Beste egile batzuk:	Dostovalova Anastasia
Argitaratua:	MDPI AG
Gaiak:	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
Sarrera elektronikoa:	Citation/Abstract Full Text + Graphics Full Text - PDF
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