Robotics & Machine Learning Daily News2024,Issue(Jun.13) :11-11.

Study Data from Civil Aviation University of China Provide New Insights into Pat tern Recognition and Artificial Intelligence (HDRYOLO: Adaptive Object Detectio n in Haze, Dark, and Rain Scenes Based on YOLO)

中国民用航空大学的研究数据为帕特恩识别和人工智能提供了新的见解(HDRYOLO:基于YOLO的雾霾、黑暗和雨景自适应目标检测)

Robotics & Machine Learning Daily News2024,Issue(Jun.13) :11-11.

Study Data from Civil Aviation University of China Provide New Insights into Pat tern Recognition and Artificial Intelligence (HDRYOLO: Adaptive Object Detectio n in Haze, Dark, and Rain Scenes Based on YOLO)

中国民用航空大学的研究数据为帕特恩识别和人工智能提供了新的见解(HDRYOLO:基于YOLO的雾霾、黑暗和雨景自适应目标检测)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-目前关于模式识别和人工智能的研究结果已经发表。据NewsRx记者从中国天津发回的新闻来源报道,Church说,“在现实环境中,在这种环境下,通过监控摄像机获得的图像经常受到包括有限对比度、次优图像质量和色差等问题的影响,使得传统的目标检测模型不适合这项任务。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on pattern recog nition and artificial intelligence have been published. According to news origin ating from Tianjin, People's Republic of China, by NewsRx correspondents, resear ch stated, “In the context of real-world environments, images acquired through s urveillance cameras in such settings are frequently marred by issues including d iminished contrast, suboptimal image quality, and color aberrations, rendering c onventional object detection models ill-suited for the task.”

Key words

Civil Aviation University of China/Tian jin/People's Republic of China/Asia/Machine Learning/Pattern Recognition and Artificial Intelligence

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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