A Few-Shot Object Detection Framework for Remote Sensing Images Based on Adaptive Decision Boundary and Multi-Scale Feature Enhancement

Given the high cost of acquiring large-scale annotated datasets, few-shot object detection (FSOD) has emerged as an increasingly important research direction. However, existing FSOD methods face two critical challenges in remote sensing images (RSIs): (1) features of small targets within remote sens...

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Hlavní autoři:	Lijiale Yang, Bangjie Li, Dongdong Guan, Deliang Xiang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Remote Sensing
Témata:	few-shot object detection remote sensing images attention mechanism feature pyramid network transfer learning
On-line přístup:	https://www.mdpi.com/2072-4292/18/3/388
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