Camouflaged Object Detection That Does Not Require Additional Priors

Camouflaged Object Detection That Does Not Require Additional Priors

Camouflaged object detection (COD) is an arduous challenge due to the striking resemblance of camouflaged objects to their surroundings. The abundance of similar background information can significantly impede the efficiency of camouflaged object detection algorithms. Prior research in this domain h...

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Bibliographic Details
Main Authors: Yuchen Dong, Heng Zhou, Chengyang Li, Junjie Xie, Yongqiang Xie, Zhongbo Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
camouflaged object detection (COD)
deep learning
without prior knowledge
camouflage cues
Online Access:https://www.mdpi.com/2076-3417/14/6/2621

Internet

https://www.mdpi.com/2076-3417/14/6/2621

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