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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Lei Zhang, Jiachun Zheng, Chaopeng Li, Zhiping Xu, Jiawen Yang, Qiuxin Wei, Xinyi Wu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-03-01
Edice:	Sensors
Témata:	detection transformer SAR object detection deep learning
On-line přístup:	https://www.mdpi.com/1424-8220/24/6/1793
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!