2024
DOI: 10.1109/jstars.2024.3362748
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FSOD4RSI: Few-Shot Object Detection for Remote Sensing Images via Features Aggregation and Scale Attention

Honghao Gao,
Shuping Wu,
Ye Wang
et al.

Abstract: Due to the continuous development of few-shot learning, there have been notable advancements in methods for few-shot object detection in recent years. However, most existing methods in this domain primarily focus on natural images, neglecting the challenges posed by variations in object scales, which are usually encountered in remote sensing images. This paper proposes a new few-shot object detection model designed to handle the issue of object scale variation in remote sensing images. Our developed model has … Show more

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Cited by 5 publications
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