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

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 the metal...

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

MotionLLM: Understanding Human Behaviors from Human Motions and Videos.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Neurodevelopmental defects in human cortical organoids with <i>N</i>-acetylneuraminic acid synthase mutation.

Science advances·2023
Same author

Tumor-specific, hypoxia-regulated, WW domain-containing oxidoreductase-expressing adenovirus inhibits human non-small cell lung cancer growth in vivo.

Human gene therapy·2009
Same author

Sleeve gastrectomy provides a better control of diabetes by decreasing ghrelin in the diabetic Goto-Kakizaki rats.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract·2009
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jun 22, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

9.8K

ED-Pose++:用于常规和交互式多对象关键点检测的增强显式框检测.

Jie Yang, Ailing Zeng, Tianhe Ren

    IEEE transactions on pattern analysis and machine intelligence
    |April 1, 2025
    PubMed
    概括
    此摘要是机器生成的。

    增强的显式盒子检测 (ED-Pose++) 使用一种新的双相方法实现了准确的多对象关键点检测. 这种框架超越了现有的方法,并大大减少了对2D关键点任务的注释工作.

    更多相关视频

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.3K
    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

    438

    相关实验视频

    Last Updated: Jun 22, 2026

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

    Published on: October 13, 2018

    9.8K
    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
    05:41

    A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

    Published on: February 6, 2020

    9.3K
    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

    438

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 精细的视觉理解需要对各种物体进行准确的关键点检测.
    • 现有的方法往往难以以端到端地进行多对象关键点检测.

    研究的目的:

    • 介绍增强的显式盒子检测 (ED-Pose++),这是一个端到端的框架,用于常规和交互式的多对象关键点检测.
    • 将多对象关键点检测重新定义为用于统一表示和回归优化的双相显式框检测过程.

    主要方法:

    • 使用对象检测解码器进行初始对象定位和全局特征提取.
    • 使用对象到关键点检测解码器,并采用协作学习策略,以有效传播信息.
    • 整合一个交互机制,以提升预测与用户反,以及一个错误纠正方案,用于推断过程中的自我纠正.

    主要成果:

    • 在传统的多对象关键点检测任务中,ED-Pose++表现出卓越的性能.
    • 实现最先进的结果,在端到端架构中超越基于热图的自上而下的方法.
    • 与手动注释相比,交互式变体将2D关键点注释工作量减少了10倍以上.

    结论:

    • ED-Pose++为多对象关键点检测提供了一种强大而高效的解决方案.
    • 该框架的端到端性质和交互能力代表了该领域的重大进步.
    • 这种方法有可能彻底改变2D关键点注释过程.