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相关概念视频

Vision01:24

Vision

60.1K
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.
60.1K
Assessment of the Cardiovascular System II: Inspection01:29

Assessment of the Cardiovascular System II: Inspection

861
Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck
861
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
Defenses Against Pathogens and Herbivores02:26

Defenses Against Pathogens and Herbivores

29.6K
Plants present a rich source of nutrients for many organisms, making it a target for herbivores and infectious agents. Plants, though lacking a proper immune system, have developed an array of constitutive and inducible defenses to fend off these attacks.
29.6K
Defense Against Bacterial Pathogens01:31

Defense Against Bacterial Pathogens

2.8K
The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
Phagocytes
Phagocytes are the frontline soldiers of the immune system. They include neutrophils and macrophages. Neutrophils are the most abundant type of white blood cell and are quickly mobilized to the site of infection. Macrophages are larger cells that patrol...
2.8K
Defense Mechanism Against Infection01:26

Defense Mechanism Against Infection

9.7K
Natural flora, body system defenses, and inflammation are natural barriers of the body against infectious agents regardless of previous exposure. Normal floras of the human body refer to the microbial population that colonizes the skin and mucous membranes.
In addition, many body organ systems have unique defenses against infection. The skin is an intact, multilayered surface preventing invasion by microorganisms unless impaired. Mucous membranes lining the mouth, nose, and eyelids are barriers...
9.7K

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相关实验视频

Updated: Feb 6, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.3K

基于计算机视觉的工业检查视觉安全防护.

Zhihao Jiang1, Haotian Yuan1, Chenrui Zeng1

  • 1Yangtze University, Jingzhou, Hubei, China.

PloS one
|February 4, 2026
PubMed
概括

一个新的阿尔法通道攻击利用图像透明度绕过智能制造中的AI防御. 这项研究引入了一种方法来检测这些隐蔽的对抗性干扰,增强工业AI安全性.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能安全 的人工智能安全
  • 智能制造是一个智能制造.

背景情况:

  • 智能制造依赖计算机视觉来检测缺陷,从而产生新的安全漏洞.
  • 现有的防御常常被针对图像数据的新型对抗性攻击所绕过.

研究的目的:

  • 识别和分析阿尔法通道攻击,一种利用图像透明度的新型威胁.
  • 评估阿尔法通道扰动对各种AI模型的影响.
  • 提出和验证一种防御机制来应对这种攻击.

主要方法:

  • 在不同的模型 (YOLOv5,FastGAN,DeepSeek-VL2,ChatGPT-4o,KIMI) 中调查了阿尔法通道攻击.
  • 通过使用mAP,FID,BLEU,METEOR和CLIP等指标评估性能下降.
  • 开发了一种轻量级检测机制,使用直方图重叠和MSE分析对α通道进行检测.

主要成果:

  • 阿尔法通道干扰显著降低了检测,生成和多式联调性能.
  • 敌对的干扰对人类视力来说仍然是不可察觉的,并绕过常规防御.
  • 拟议的检测框架实现了0.998.99的曲线下的面积 (AUC).

更多相关视频

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
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A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

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A Visual Guide for Studying Behavioral Defenses to Pathogen Attacks in Leaf-Cutting Ants
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A Visual Guide for Studying Behavioral Defenses to Pathogen Attacks in Leaf-Cutting Ants

Published on: October 12, 2018

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相关实验视频

Last Updated: Feb 6, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.3K
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

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A Visual Guide for Studying Behavioral Defenses to Pathogen Attacks in Leaf-Cutting Ants
08:10

A Visual Guide for Studying Behavioral Defenses to Pathogen Attacks in Leaf-Cutting Ants

Published on: October 12, 2018

11.8K

结论:

  • 阿尔法通道攻击在视觉数据管道中代表了一个关键的盲点.
  • 引入了一种新的威胁模型和有效的防御策略.
  • 这项工作有助于开发更具弹性的工业人工智能系统.