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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

196
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
196
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

9.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
9.4K

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

Advancements in functional smart and wearable textiles for sportswear applications.

RSC advances·2025
Same author

The Development and Evaluation of Hybrid Solar Cells Based on Perovskites and CIGS with Different ETL for Increased Photovoltaic Efficiency Using SCAPS-1D.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Optimizing Charge Transport Layers to Enhance the Performance of Lead-Free RbGeI<sub>3</sub> Perovskite Solar Cells: A Comprehensive Analysis of ETL and HTL Engineering.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Stereoscopic video deblurring transformer.

Scientific reports·2024
Same author

Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video.

SN computer science·2022
Same author

An occlusion insensitive adaptive focus measurement method.

Optics express·2010

相关实验视频

Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

对资源有限的设备进行了优化的端到端人类分析和检测.

Md Imran Hosen1,2, Tarkan Aydin3, Md Baharul Islam3,4,5

  • 1Department of Computer Engineering, Bahcesehir University, Yildiz, Ciragan Cd, Besiktas, 34349, Istanbul, Turkey. mdimran.hosen@bau.edu.tr.

Scientific reports
|December 10, 2025
PubMed
概括

我们开发了一个高效的人类解析框架,使用自我注意力来更好地理解语境. 这种方法优化了低资源设备,在一次通过中实现快速和准确的结果.

关键词:
多人解析多人解析多边形的注释 多边形的注释资源有限的设备.专注于自己的注意力

更多相关视频

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

991
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

556

相关实验视频

Last Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K
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

991
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

556

科学领域:

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

背景情况:

  • 人类解析对于以人为中心的分析至关重要,对服装和身体部位进行细分.
  • 当前的方法往往需要辅助输入,阻碍了对资源有限的设备的使用.

研究的目的:

  • 为低资源环境优化的人类解析提出一个端到端的框架.
  • 为了增强上下文理解,并使同时检测和解析.

主要方法:

  • 实现了基于变压器的自我注意模块,以改善上下文信息.
  • 引入了边界多边形注释,用于集成检测和解析.
  • 优化了对资源有限的硬件进行高效推断的框架.

主要成果:

  • 实现了细粒度的人类解析结果,在单个推理通过.
  • 显著提高了推断速度,而不会影响准确度.
  • 在Raspberry Pi上证明了有效性和效率,用于现实世界的验证.

结论:

  • 拟议的框架提供了一个高效和准确的解决方案,用于在资源有限的环境中进行人类分析.
  • 自我注意和边界多边形注释的集成提升了单通的人类解析能力.