Infrared and Visible Image Object Detection via Focused Feature Enhancement and Cascaded Semantic Extension

Infrared and visible images (multi-sensor or multi-band images) have many complementary features which can effectively boost the performance of object detection. Recently, convolutional neural networks (CNNs) have seen frequent use to perform object detection in multi-band images. However, it is ver...

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書誌詳細

主要な著者:	Xiaowu Xiao, Bo Wang, Lingjuan Miao, Linhao Li, Zhiqiang Zhou, Jinlei Ma, Dandan Dong
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-06-01
シリーズ:	Remote Sensing
主題:	infrared and visible image object detection convolutional neural network difference maximum loss function focused feature enhancement module cascaded semantic extension module
オンライン･アクセス:	https://www.mdpi.com/2072-4292/13/13/2538
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