FSOD4RSI: Few-Shot Object Detection for Remote Sensing Images via Features Aggregation and Scale Attention

FSOD4RSI: Few-Shot Object Detection for Remote Sensing Images via Features Aggregation and Scale Attention

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, whic...

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Bibliographic Details
Main Authors: Honghao Gao, Shuping Wu, Ye Wang, Jung Yoon Kim, Yueshen Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
feature aggregation
few-shot learning
object detection
remote sensing images
Online Access:https://ieeexplore.ieee.org/document/10423123/

Internet

https://ieeexplore.ieee.org/document/10423123/

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