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

Association Areas of the Cortex01:21

Association Areas of the Cortex

8.8K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.8K
Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

563
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
563
Prosopagnosia01:24

Prosopagnosia

685
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
685
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.2K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.2K
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

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

Federated Learning with Differential Privacy for Ultrasound Breast Cancer Classification: An Empirical Study.

Journal of imaging·2026
Same author

Vision-Based People Counting and Tracking for Urban Environments.

Journal of imaging·2026
Same author

A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications.

Sensors (Basel, Switzerland)·2025
查看所有相关文章

相关实验视频

Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K

联邦自主监督的少数镜头人脸识别系统

Nursultan Makhanov1, Beibut Amirgaliyev1, Talgat Islamgozhayev1

  • 1Smart City Research Center, Astana IT University, Astana 010000, Kazakhstan.

Journal of imaging
|October 28, 2025
PubMed
概括

面部识别的联合学习保护了隐私,但降低了12-30%的准确性. 传统的CNN在这个联合的少数射击学习环境中表现比变压器更好.

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:

  • 保护隐私的机器学习对于像面部信息这样的敏感数据至关重要.
  • 联合学习 (FL),自主监督学习 (SSL) 和少量学习 (FSL) 是先进的技术,具有保护隐私的面部识别潜力.

研究的目的:

  • 开发和评估一个系统的框架,结合FL,SSL和FSL,用于保护隐私的面部识别.
  • 量化与面部识别系统中隐私保护相关的性能权衡.

主要方法:

  • 在联合环境中,在CASIA-WebFace数据集上使用SimCLR进行自我监督的预训.
  • 在使用原型网络的LFW数据集上进行了联合的少数镜头微调.
  • 在六个架构的全面评估:ResNet,DenseNet,MobileViT,ViT-Small,CvT和CoAtNet.

主要成果:

  • 联合框架成功地保护了数据隐私,但与集中式方法相比,它会导致显著的性能下降 (12-30%的准确性损失).
  • 卷积神经网络 (CNN) 在联邦制约下表现出比基于变压器的架构更强大的稳定性.
  • 五拍式学习配置提供了数据效率和识别性能之间的最佳平衡.

结论:

关键词:
面部识别系统是面部识别系统.联合学习的联合学习几次射击的学习学习机器学习保护隐私的机器学习自主监督学习学习

更多相关视频

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

820

相关实验视频

Last Updated: Jan 13, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

820
  • 联邦面部识别中的隐私保护具有相当大的性能成本.
  • 对于联合的几次射击面部识别任务,CNN比变压器更适合.
  • 提供了用于部署保护隐私的面部识别系统的实证基准和见解,突出了关键的隐私-实用性权衡.