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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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相关实验视频

Updated: Sep 15, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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半监督远程传感的培训策略 图像标题 图像标题

Qimin Cheng1, Haojun Cheng2, Linfeng Yuan3

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China. chengqm@hust.edu.cn.

Scientific reports
|July 12, 2025
PubMed
概括

这项研究引入了用于遥感图像标题的半监督学习,减少了对标记数据的依赖. 像WENTS和TSTN这样的新方法提高了标题质量和多样性,实现了最先进的结果.

关键词:
喧的学生培训 学生培训遥感图片标题 图片标题 遥感图片标题半监督学习 半监督学习缺乏监督的学习学习.

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科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 遥感 遥感 遥感 遥感

背景情况:

  • 遥感图像标题对于环境监测和灾害响应至关重要.
  • 目前的模型需要大型标记数据集,并且在计算上昂贵,以稀缺的注释限制它们的使用.

研究的目的:

  • 开发用于远程传感的半监督培训策略.
  • 减少对标记数据的依赖,同时提高标题质量和多样性.

主要方法:

  • 拟议的弱监督增强噪音的教师-学生网络 (WENTS),以提高概括性.
  • 开发了双阶段培训网络 (TSTN),以实现稳定的学习和多样化的标题生成.
  • 采用半监督学习,以减轻对大量标记数据的需求.

主要成果:

  • 通过低采样率和简单的架构实现了卓越的性能,证明了高可扩展性.
  • 在基准数据集上展示了最先进的性能,包括NWPU-Captions.
  • 与NWPU-Captions.之前的方法相比,CIDEr提高了17.71%和Sm提高了11.23%.

结论:

  • 半监督策略有效地提高远程传感图像标题质量和多样性.
  • 拟议的WENTS和TSTN方法为数据稀缺的场景提供了可扩展和高效的解决方案.
  • 这项工作通过提供强大的方法来从遥感图像中生成高质量的标题,从而推动了该领域的发展.