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相关概念视频

Visual System01:26

Visual System

613
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
613
Vision01:24

Vision

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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.
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Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

176
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
176
Transformers in Distribution System01:27

Transformers in Distribution System

123
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
123
Transformers01:26

Transformers

1.1K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Updated: Jul 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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纠正ViT快捷方式 通过视觉突出来学习

Chong Ma, Lin Zhao, Yuzhong Chen

    IEEE transactions on neural networks and learning systems
    |September 13, 2023
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    概括
    此摘要是机器生成的。

    深度学习模型中的快捷方式学习是通过新的突出指导视觉转换器 (SGT) 来解决的. 这种模型纠正了快捷方式,而不需要耗时的眼神数据,提高了概括性和解释性.

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    科学领域:

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

    背景情况:

    • 深度学习模型中的快捷方式学习导致概括性和解释性差.
    • 视觉转换器 (ViT) 被广泛使用,但其快捷方式学习行为尚未得到充分理解.
    • 特定领域的知识,如眼神数据,可以指导模型,但通常是不切实际的.

    研究的目的:

    • 提出一种新的突出指导的ViT (SGT) 模型,以纠正ViT中的捷径学习.
    • 通过视觉突出来利用人类先前的知识,而不需要眼神数据.
    • 提高ViT模型的概括性和解释性.

    主要方法:

    • 一个计算视觉突出模型为输入图像生成突出地图.
    • 突出地图过信息图像补丁,将模型集中在相关地区.
    • 在所有补丁中与自我注意的剩余连接减轻了全球信息丢失.

    主要成果:

    • SGT框架有效地学习和应用人类的先前知识,而不需要眼神数据.
    • 与自然和医学图像数据集的基线模型相比,实现了显著更好的性能.
    • 成功纠正了有害的快捷方式学习,提高了ViT模型的解释性.

    结论:

    • SGT模型展示了一种有效的方法来纠正ViT中的捷径学习.
    • 通过视觉突出转移人类先前的知识是一种有希望的方法.
    • SGT框架为ViT模型提供了更好的性能,通用性和可解释性.