Label Noise Robust Crowd Counting with Loss Filtering Factor

IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Applied Artificial Intelligence Pub Date : 2024-03-21 DOI:10.1080/08839514.2024.2329859
Zhengmeng Xu, Hai Lin, Yufeng Chen, Yanli Li
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Abstract

Crowd counting, a crucial computer vision task, aims at estimating the number of individuals in various environments. Each person in crowd counting datasets is typically annotated by a point at the...
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带损失过滤因子的标签噪声稳健人群计数法
人群计数是一项重要的计算机视觉任务,旨在估算各种环境中的人数。人群计数数据集中的每个人通常都由一个点标注,该点位于...
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来源期刊
Applied Artificial Intelligence
Applied Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
5.20
自引率
3.60%
发文量
106
审稿时长
6 months
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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