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

Visual Agnosia01:12

Visual Agnosia

180
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
180
Visual System01:26

Visual System

554
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
554
Vision01:24

Vision

53.0K
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.
53.0K

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

Comparative study on detoxification and efficacy-preserving mechanisms of two Tiebangchui processing methods from compositional alterations to in vivo systemic behavior.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2026
Same author

Effects of serotonergic pharmacological manipulation on exercise performance and central fatigue: a systematic review and three-level meta-analysis.

Journal of the International Society of Sports Nutrition·2026
Same author

Prenatal corticosteroid use improves the severity and complications of necrotizing enterocolitis in preterm infants: a retrospective multicenter clinical study in China.

PeerJ·2026
Same author

FAM234A acts as a switch between Th17 and Treg cell fate decisions that control inflammatory bowel disease.

Cellular & molecular immunology·2026
Same author

[Exploration and practice of cultivating top-notch innovative talents in biological sciences under the dual-track framework integrating "Strengthening Basic Disciplines Program" and "Top-notch Student Training Program"].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2026
Same author

Global trends in the burden of inflammatory bowel disease from 1990 to 2021: socioeconomic and sex-specific disparities with exploratory mendelian randomization analyses.

Clinical and experimental medicine·2026

相关实验视频

Updated: Jun 12, 2025

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.8K

SIM-OFE:结构信息挖掘和对象感知功能增强,用于精细的视觉分类.

Hongbo Sun, Xiangteng He, Jinglin Xu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 18, 2024
    PubMed
    概括

    本研究引入了一种用于细粒度视觉分类 (FGVC) 的新方法,以更好地区分对象子类别之间的微妙差异. 结构信息挖掘和对象感知特征增强 (SIM-OFE) 方法通过分析内部对象结构和增强特征来提高识别.

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 细粒度视觉分类 (FGVC) 由于细微的类间差异而具有挑战性.
    • 当前的方法往往忽略了内部对象结构,限制了性能.
    • 有效的FGVC需要捕捉全球和地方的歧视性特征.

    研究的目的:

    • 提出一种新的方法来增强细粒度的视觉分类.
    • 通过结合对象结构和外观来解决现有方法的局限性.
    • 提高对视觉上相似的子类别进行区分的准确性.

    主要方法:

    • 开发了一种混合感知注意模块,用于使用全球和本地意义进行对象定位.
    • 引入了一个结构信息挖掘模块来建模关键区域分布和关系.
    • 提出了一个对象意识的功能增强模块,用于仔细合全球和本地功能.

    主要成果:

    • 评估了拟议的结构信息挖掘和对象感知特征增强 (SIM-OFE) 方法.
    • 在三个基准FGVC数据集上进行了实验.
    • 通过SIM-OFE方法实现了最先进的性能.

    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
    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

    相关实验视频

    Last Updated: Jun 12, 2025

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    11.8K
    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
    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

    结论:

    • 该SIM-OFE方法有效地捕获内部对象结构和外观特征.
    • 这种方法增强了对细粒度识别的歧视性特征学习.
    • 在细粒度的视觉分类任务中,SIM-OFE表现出卓越的性能.