LRTransDet: A Real-Time SAR Ship-Detection Network with Lightweight ViT and Multi-Scale Feature Fusion

In recent years, significant strides have been made in the field of synthetic aperture radar (SAR) ship detection through the application of deep learning techniques. These advanced methods have substantially improved the accuracy of ship detection. Nonetheless, SAR images present distinct challenge...

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Opis bibliograficzny

Główni autorzy:	Kunyu Feng, Li Lun, Xiaofeng Wang, Xiaoxin Cui
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2023-11-01
Seria:	Remote Sensing
Hasła przedmiotowe:	synthetic aperture radar (SAR) ship detection vision transformer (ViT) faster weighted feature fusion (Faster-WF2) coordinate attention (CA) real-time
Dostęp online:	https://www.mdpi.com/2072-4292/15/22/5309
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!