Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement

Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement

Few-shot object detection (FSOD) based on fine-tuning is essential for analyzing optical remote sensing images. However, existing methods mainly focus on natural images and overlook the scale variations in remote sensing images, leading to feature confusion among foreground instances of different cl...

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Bibliographic Details
Main Authors: Zhaoguo Huang, Danyang Chen, Cheng Zhong
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
few-shot object detection
remote sensing images
pseudo-sample generation
feature enhancement
Online Access:https://www.mdpi.com/2076-3417/15/8/4477
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