CCDN-DETR: A Detection Transformer Based on Constrained Contrast Denoising for Multi-Class Synthetic Aperture Radar Object Detection

The effectiveness of the SAR object detection technique based on Convolutional Neural Networks (CNNs) has been widely proven, and it is increasingly used in the recognition of ship targets. Recently, efforts have been made to integrate transformer structures into SAR detectors to achieve improved ta...

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Автори:	Lei Zhang, Jiachun Zheng, Chaopeng Li, Zhiping Xu, Jiawen Yang, Qiuxin Wei, Xinyi Wu
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2024-03-01
Серія:	Sensors
Предмети:	detection transformer SAR object detection deep learning
Онлайн доступ:	https://www.mdpi.com/1424-8220/24/6/1793
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