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Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection

Remote sensing object detection based on the combination of infrared and visible images can effectively adapt to the around-the-clock and changeable illumination conditions. However, most of the existing infrared and visible object detection networks need two backbone networks to extract the feature...

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Principais autores: Jiawen Wu, Tao Shen, Qingwang Wang, Zhimin Tao, Kai Zeng, Jian Song
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-01-01
Serier:Remote Sensing
Fag:
visible–infrared images
object detection
multimodal fusion
illumination perception
offset estimation
Online adgang:https://www.mdpi.com/2072-4292/15/3/660
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