SARFA-Net: Shape-Aware Label Assignment and Refined Feature Alignment for Arbitrary-Oriented Object Detection in Remote Sensing Images

Arbitrary-oriented object detection in remote sensing images has witnessed significant progress in recent years. Numerous excellent detection models perform promising results, however, there are two main tough challenges hinder their performances. On the one hand, current label assignment strategies...

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Автори:	Yan Dong, Minghong Wei, Guangshuai Gao, Chunlei Li, Zhoufeng Liu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2025-01-01
Серія:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предмети:	Arbitrary-oriented object detection (AOOD) feature misalignment (FM) insufficient high-quality samples label assignment remote sensing images (RSI)
Онлайн доступ:	https://ieeexplore.ieee.org/document/10848126/
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