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

Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Observational Learning01:12

Observational Learning

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 because...

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

Uric acid influences the relationship between unsafe neighborhood and digestive diseases among middle-aged or older adults: a longitudinal cohort study from the China Health and Retirement Longitudinal Study (CHARLS).

BMC public health·2026
Same author

Widely used bandit tasks elicit diverging belief updating phenotypes in healthy adults.

Research square·2026
Same author

Single-cell transcriptome analysis identifies neutrophil-related prognostic signatures in hepatocellular carcinoma.

Journal of gastrointestinal oncology·2026
Same author

Selection and characterization of DNA aptamers specific to trichlorfon.

Analytical methods : advancing methods and applications·2026
Same author

Multiplex MALDI-TOF MS for simultaneous detection of 13 goose viruses.

Journal of virological methods·2026
Same author

Effect of Different Types of Whole Dietary Pulses on Established Therapeutic Lipid Targets for Cardiovascular Risk Reduction: An Updated Systematic Review and Dose-Response Meta-Analysis of Randomized Controlled Trials.

Journal of the American Heart Association·2026

相关实验视频

Updated: Jun 10, 2026

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

点击纠正:交互式双向动态传播视频对象细分网络.

Shuting Yang1, Xia Yuan2, Sihan Luo2

  • 1Institute of Agricultural Economy and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的交互式视频对象细分网络,该网络使用点击输入来获得精确的结果. 该方法实现了最先进的性能与最小的用户交互,提高了细分质量.

关键词:
这是双向传播的双向传播.基于点击的交互式互动.交互式细分的交互式细分.视频对象细分 视频对象细分

更多相关视频

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

相关实验视频

Last Updated: Jun 10, 2026

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
Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
05:57

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus

Published on: April 8, 2019

6.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 机器学习 机器学习

背景情况:

  • 高质量的视频对象细分是视觉计算中的一个复杂挑战.
  • 交互式细分方法可以提高细分的准确性.
  • 现有的方法可能需要大量的用户输入或与规模变化作斗争.

研究的目的:

  • 提出一个新的多轮交互动态传播网络,用于实例级视频对象细分.
  • 为了利用点击交互来提高细分精度和效率.
  • 为了实现最先进的结果,减少了用户的努力.

主要方法:

  • 开发了一个具有用户交互细分模块和双向动态传播模块的网络.
  • 在交互模块内设计了一个预先细分网络,以处理用户点击的不同尺寸的对象.
  • 在多个交互轮中使用双向传播和细分面具的融合.

主要成果:

  • 拟议的方法证明了对基准数据集的最先进的细分结果.
  • 实现了高精度的视频对象细分.
  • 与现有方法相比,需要显著减少点击互动.

结论:

  • 多轮互动动动态传播网络有效地增强了视频对象的细分.
  • 基于点击的交互与动态传播相结合,为精确高效的细分提供了有前途的方法.
  • 该方法显示了对需要准确的对象跟踪和细分的现实应用的潜力.