Ship target detection in SAR images based on SimAM attention YOLOv8

Abstract Deep learning has been widely applied in ship detection in synthetic aperture radar (SAR) imagery due to their powerful feature representation capabilities. However, YOLOv8 models treat all regions of the image equally during convolutional feature processing, resulting in less‐than‐ideal ou...

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書誌詳細

出版年:	IET Communications
主要な著者:	Yuqiao Xu, Wei Du, Lewu Deng, Yi Zhang, Wanli Wen
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2024-12-01
主題:	image processing learning (artificial intelligence) neural nets object detection
オンライン･アクセス:	https://doi.org/10.1049/cmu2.12837