Robotics & Machine Learning Daily News2024,Issue(Jun.6) :72-72.

Researchers at Zhengzhou University Target Intelligent Systems (Consistency-cons trained Rgb-t Crowd Counting Via Mutual Information Maximization)

郑州大学的研究人员瞄准智能系统(一致性consensy-cons训练的基于互信息最大化的rgb-t人群计数)

Robotics & Machine Learning Daily News2024,Issue(Jun.6) :72-72.

Researchers at Zhengzhou University Target Intelligent Systems (Consistency-cons trained Rgb-t Crowd Counting Via Mutual Information Maximization)

郑州大学的研究人员瞄准智能系统(一致性consensy-cons训练的基于互信息最大化的rgb-t人群计数)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的研究结果-智能系统将在一份新的报告中讨论。RGB-T图像的热成像数据与RGB表示互补,在跨模态人群计数中取得了令人满意的结果,但在RGB-T CRO WD计数中,RGB-T CRO WD计数中,RGB-T CRO WD图像的热成像数据与RGB-T CRO WD图像的热成像数据相结合,显示了其在跨模态人群计数中的应用许多现有的方法仍然面临两个重大的局限性:(1)对模式之间异质差距的监督使多模式特征的有效整合复杂化。(2)缺乏挖掘一致性阻碍了EAC H模式固有的独特互补优势的充分利用。"本研究的资助者包括国家自然科学基金(NSFC)、国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news originati ng from Henan, People’s Republic of China, by NewsRx correspondents, research st ated, “The incorporation of thermal imaging data in RGB-T images has demonstrate d its usefulness in cross-modal crowd counting by offering complementary informa tion to RGB representations. Despite achieving satisfactory results in RGB-T cro wd counting, many existing methods still face two significant limitations: (1) T he oversight of the heterogeneous gap between modalities complicates the effecti ve integration of multimodal features. (2) The absence of mining consistency hin ders the full exploitation of the unique complementary strengths inherent in eac h modality.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC).

Key words

Henan/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Zhengzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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