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Yinghan Yang on Muck Rack

Yinghan Yang

As seen in: Nature, MDPI
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Articles

An improved YOLOv8 model for container damage detection in complex scenarios

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By Yuxuan Zhang, Zhenghao Tang, Yinghan Yang, Aiping Zhou
| Nature Verified
Abstract Container damage detection is a critical process for ensuring cargo safety, improving logistics efficiency, and reducing repair costs. To address the issues of susceptibility to environmental interference and high false detection rates encountered when applying the YOLOv8 model to complex scenarios, we propose an improved YOLOv8 model named EB-YOLOv8 based on its original architecture.
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GLFNet: Combining Global and Local Information in Vehicle Re-Recognition

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By Peng Liu, Hongfei Song, Yinghan Yang, Junran Huang
| 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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