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

Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

835
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
835
Vision01:24

Vision

52.5K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
52.5K
Motor Unit Stimulation01:20

Motor Unit Stimulation

1.3K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
1.3K

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 journal

Latent Space Projections and Atlases, a Cautionary Tale in Deep Neuroimaging using Autoencoders.

International journal of neural systems·2026
Same journal

Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images.

International journal of neural systems·2026
Same journal

Discrete Wavelet Convolution for Learnable Time-Frequency Representation with Application to Seizure Prediction.

International journal of neural systems·2026
Same journal

Automatic Seizure Detection using Hierarchical Spectral-Temporal Feature Learning with an Imbalance-Aware Transformer.

International journal of neural systems·2026
Same journal

Pyramid Vision Transformer-Enhanced Conformer Network for Epileptic Seizure Recognition Using MultiChannel EEG Signals.

International journal of neural systems·2026
Same journal

A Time-Frequency Decoupled Contrastive Learning Framework for Electroencephalography-Based Parkinson's Disease Diagnosis.

International journal of neural systems·2026
查看所有相关文章

相关实验视频

Updated: May 16, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.4K

场景文本检测基于文本笔记元件

Xinyue Hou1, Pengsen Cheng1, Hongyu Gao1

  • 1School of Cyber Science and Engineering, Sichuan University, Chengdu 610207, Sichuan, P. R. China.

International journal of neural systems
|April 2, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用Text Stroke Components (TSC) 和Harris角探测的新场景文本检测方法. 该方法有效地定位文本字符,在各种条件下优于当前的方法.

关键词:
文本冲刺组件 文字冲刺组件角落检测探测器可以检测场景文本检测 场景文本检测

更多相关视频

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

502
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

2.8K

相关实验视频

Last Updated: May 16, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.4K
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

502
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
07:42

Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients

Published on: December 16, 2022

2.8K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 场景文本检测至关重要,但受到文本大小,背景复杂性和方向变化的挑战.
  • 现有的方法与这些现实世界的场景文本复杂性作斗争.

研究的目的:

  • 提出一种新的方法,用于强大的场景文本检测和识别.
  • 解决以前处理不同文本外观和背景的方法的局限性.

主要方法:

  • 利用文本冲刺组件 (TSC) 和哈里斯角探测来识别文本冲刺中的关键点.
  • 使用透明度参数来增强原始和角探测图像的融合,改善关键点定位和减少噪音.
  • 与ABINet识别模型一起共同训练检测方法.

主要成果:

  • 拟议的基于TSC的方法在本地化文本字符方面表现出优异的性能,与现有的场景文本检测器相比.
  • 在13个数据集上进行了广泛的实验,显示了与最先进的 (SOTA) 方法相比的显著优异性.
  • 透明度参数有效地改善了关键冲击点的定位,并最大限度地减少了背景干扰.

结论:

  • 文本冲击组件与角落检测相结合,在场景文本检测中提供了一个有效的策略来定位关键点.
  • 这种新的方法在具有挑战性的条件下准确地检测和识别场景文本方面取得了重大进展.