带损失过滤因子的标签噪声稳健人群计数法

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

引用次数: 0

摘要

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...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Label Noise Robust Crowd Counting with Loss Filtering Factor

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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来源期刊

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.