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

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

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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).

HenanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningZhengzhou University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.6)