RGB-T Object Detection With Failure Scenarios

RGB-T Object Detection With Failure Scenarios

Currently, RGB-thermal (RGB-T) object detection algorithms have demonstrated excellent performance, but issues such as modality failure caused by fog, strong light, sensor damage, and other conditions can significantly impact the detector's performance. This article proposes a multimodal...

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Bibliographic Details
Main Authors: Qingwang Wang, Yuxuan Sun, Yongke Chi, Tao Shen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Diffusion model
kernel method
multimodal remote sensing
object detection
RGB-thermal (RGB-T) images
Online Access:https://ieeexplore.ieee.org/document/10817087/

Internet

https://ieeexplore.ieee.org/document/10817087/

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