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

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
Deindividuation00:57

Deindividuation

30.3K
Deindividuation is a form of social influence on an individual’s behavior such that the individual engages in unusual or non-normal behavior while in a group setting. Why? Because in these group settings, the individual no longer sees themselves as an individual anymore, disinhibiting their behavior and personal restraint.
30.3K
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

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

Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Elevated suspended particulate matter reorganises carbon fraction in mangrove ecosystems.

Marine environmental research·2026
Same author

Learning Prompt Adapters for Forgetting-Free Continual Image Super-Resolution.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Overcoming Dual Incremental Challenges in Continual Person Search via Adapter and Prototype.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization.

IEEE transactions on pattern analysis and machine intelligence·2026

相关实验视频

Updated: Jan 18, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
09:49

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

Published on: December 24, 2015

14.6K

隔离干扰因子,使更换衣服的人重新识别.

De Cheng, Yubo Li, Chaowei Fang

    IEEE transactions on pattern analysis and machine intelligence
    |January 16, 2026
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的衣服换衣人员重新识别 (CC-ReID) 框架,该框架将身份特征与服装等干扰因素分开. 该方法通过隔离身份信息来提高监控系统中人识别的准确性.

    更多相关视频

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
    06:53

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

    Published on: March 1, 2017

    13.8K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.9K

    相关实验视频

    Last Updated: Jan 18, 2026

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.6K
    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
    06:53

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

    Published on: March 1, 2017

    13.8K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.9K

    科学领域:

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

    背景情况:

    • 换衣服的人重新识别 (CC-ReID) 对于监视和安全至关重要.
    • 目前的CC-ReID方法与服装,观点和行为等干扰因素作斗争,影响身份特征提取.
    • 强大的身份特征提取需要解决这些干扰因素.

    研究的目的:

    • 为CC-ReID提出一个新的框架,系统地将干扰因素与身份特征分开.
    • 确保身份代表的稳定性和歧视力,尽管存在差异.
    • 提高个人再识别系统的准确性和可靠性.

    主要方法:

    • 双流身份特征学习框架,包括原始和布隔离流.
    • 一个适应性布料无关的对比目标来处理服装变化.
    • 一个以文本驱动的条件生成的对抗干扰解网络 (T-CGAIDN),以抑制其他干扰因素.

    主要成果:

    • 拟议的框架显著优于公共基准的最先进方法.
    • 该方法有效地将身份特征从各种干扰因素中解脱出来.
    • 在身份表示中表现出更好的稳定性和歧视力.

    结论:

    • 新的框架通过解开干扰因素,有效地解决了CC-ReID中的挑战.
    • 这种方法提高了个人重新识别系统的性能.
    • 提出的方法在CC-ReID领域提供了显著的进步.