Jove
Visualize
联系我们
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

相关概念视频

Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Observational Learning01:12

Observational Learning

824
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
824
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.4K
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

271
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
271

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

Expression and Characterization of a Recombinant Laccase with Alkalistable and Thermostable Properties from Streptomyces griseorubens JSD-1.

Applied biochemistry and biotechnology·2015
Same author

Herb-Partitioned Moxibustion and the miRNAs Related to Crohn's Disease: A Study Based on Rat Models.

Evidence-based complementary and alternative medicine : eCAM·2015
Same author

Bioactive carbazole alkaloids from the stems of Clausena lansium.

Fitoterapia·2015
Same author

Clauemarazoles A-G, seven carbazole alkaloids from the stems of Clausena emarginata.

Fitoterapia·2015
Same author

Scalable and DiI-compatible optical clearance of the mammalian brain.

Frontiers in neuroanatomy·2015
Same author

FSH regulates fat accumulation and redistribution in aging through the Gαi/Ca(2+)/CREB pathway.

Aging cell·2015

相关实验视频

Updated: Jan 14, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

快速:对于域自适应对象检测的前景意识主动自我训练.

Dan Zhang1, Hongmin Deng1, Hailin Wang1

  • 1Southwestern University of Finance and Economics, China.

Neural networks : the official journal of the International Neural Network Society
|October 19, 2025
PubMed
概括
此摘要是机器生成的。

具有前景意识的主动自我训练 (FAST) 通过选择性标记信息目标数据来改善域自适应对象检测. 这种方法在新数据集上增强了对象探测器,并且注释成本最小,性能优于现有的方法.

关键词:
积极学习是指积极学习.域名适应领域适应平均教师自我培训的教师.对象检测检测对象检测对象检测

相关实验视频

Last Updated: Jan 14, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

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:

  • 域自适应对象检测 (DAOD) 在未标记的目标数据上使用标记的源数据训练模型.
  • 平均教师的自我训练对DAOD有效,但受到杂的伪标签的阻碍.
  • 主动域调整 (ADA) 选择性地注释信息数据以降低成本,但其在DAOD中的使用是有限的.

研究的目的:

  • 开发一个有效的主动学习框架,用于域自适应对象检测.
  • 解决DAOD的教师自我培训中杂的伪标签的挑战.
  • 通过选择最有价值的目标样本来最大限度地降低DAOD中的注释成本.

主要方法:

  • 建议为积极的DAOD提供前沿意识的积极自我训练 (FAST) 框架.
  • 引入了前景多样性集群采样 (FDCS) 以最大限度地提高前景对象多样性.
  • 实施教师-学生差异不确定性抽样 (TDUN) 来识别不确定的预测.
  • 利用了与专用抽样模型脱的积极学习范式.

主要成果:

  • FAST显著提高了目标域上的对象检测性能.
  • 拟议的抽样策略有效地识别了有信息性的目标样本.
  • 实验结果表明,在多个DAOD数据集中,性能优越.
  • 该方法在具有挑战性的场景中成功地弥合了领域差距.

结论:

  • FAST建立了一个有效的框架,用于主动域自适应对象检测.
  • 结合FDCS和TDUN采样策略,优化了注释工作.
  • 拟议的方法提供了一个有前途的解决方案,以最小的注释成本来改进DAOD.