Jove
Visualize
联系我们

相关概念视频

Labeling Emotion01:20

Labeling Emotion

94
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
94

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Synergistic Sensitization of Pancreatic Cancer Cells by Nanosecond Pulsed Electric Fields and Cold Atmospheric Plasma via Amplifying ROS and Apoptotic Signaling.

International journal of molecular sciences·2026
Same author

PISD acts as a switch between lipophagy and fatty acid transfer to mitochondria.

The Journal of cell biology·2026
Same author

Indigenous knowledge and modern science: a comprehensive review of phytochemicals in <i>Panax ginseng</i> flower for nutritional and health applications.

Frontiers in nutrition·2026
Same author

Pan-genome analysis of the P-type ATPase gene family in Prunus mume and functional characterization of PmAHA3 in organic acid accumulation.

Plant physiology and biochemistry : PPB·2026
Same author

Lipid Droplet-Accumulating Microglia as a Therapeutic Node in Neurodegenerative Disease.

ACS chemical neuroscience·2026
Same author

Aeroallergen Sensitization Status in West China from 2024 to 2025.

Journal of clinical medicine·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: May 29, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

伪标签精制用于半监督的时间动作定位.

Lingwen Meng1, Guobang Ban1, Guanghui Xi1

  • 1Electric Power Research Institute of Guizhou Power Grid Co. Ltd, Guiyang, China.

PloS one
|February 5, 2025
PubMed
概括

这项研究介绍了伪标签精制 (PLR),这是一种用于时间动作定位 (TAL) 的新型半监督方法. 通过改进伪标签,PLR显著提高了本地化准确性,超过了具有有限标签数据的现有方法.

科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 训练时间动作定位 (TAL) 模型需要大量的手动注释,这对于视频来说是耗时的.
  • 半监督学习 (SSL) 提供了一个解决方案,利用标记和未标记的数据进行模型训练.

研究的目的:

  • 开发一种有效的半监督时间动作定位 (SSTAL) 方法,以减少对完全注释数据的依赖.
  • 为了提高伪标签生成和利用在SSL中的准确性和效率,用于TAL.

主要方法:

  • 拟议的伪标签精制 (PLR) 方法使用教师-学生框架.
  • 集成的伪标签自我完善与时区域有趣的聚合边界准确性.
  • 引入了一个边界合成模块,用于通过多重推断来改进时间间隔.
  • 实施了适应性权重学习策略,用于逐步学习不同质量的伪标签.

主要成果:

  • 在使用ActionFormer和BMN检测器的THUMOS14和ActivityNet v1.3数据集上取得了显著的改进.
  • 与最先进的SSTAL方法相比,在10%-60%的标签率中显示出更高的定位准确性.
  • 废弃性研究证实了PLR方法中的单个模块的有效性.

更多相关视频

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.5K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

相关实验视频

Last Updated: May 29, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.5K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

结论:

  • PLR方法有效地提高了由教师模型生成的伪标签的准确性.
  • PLR为半监督的时间动作本地化提供了一个强大的解决方案,在减少注释力度的情况下显著提高了性能.