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Guanying Huo on Muck Rack

Guanying Huo

As seen in: Frontiers, MDPI, Optica, Rapid Prototyping Journal
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Articles

PBP-SAM: polarization-driven boundary prompt SAM for camouflaged object detection

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By Liangchao Chen, Guanying Huo, Weifeng Kong
| Optica Verified
Camouflaged object detection (COD) remains challenging due to the weak appearance contrast between targets and their surroundings, which limits the discriminative capability of  RGB images. To address this issue, we propose a polarization-driven boundary prompt segment anything model (PBP-SAM), a multimodal SAM-based framework for COD.
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Semantic Segmentation Algorithm Fusing Infrared and Natural Light Images for Automatic Navigation in Transmission Line Inspection

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By Jie Yuan, Ting Wang, Guanying Huo, Ran Jin
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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An underwater imaging method of enhancement via multi-scale weighted fusion

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By Xuemin Cheng, Ning WANG, Guanying Huo
| Frontiers
Hao Zhang1*, Longxiang Gong2, Xiangchun Li3, Fei Liu4 and Jiawei Yin3 1School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China 2Civil Aviation Logistics Technology Co., Ltd, Chengdu, China 3Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, China 4School of Optoelectronic Engineering, Xidian University, Xi’an, China Blurring and color distortion are significant issues in underwater optical...
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