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相关概念视频

Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

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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...
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Three-Winding Transformers01:19

Three-Winding Transformers

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Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
In the per-unit equivalent circuit of a grounded Y-Y three-phase...
224
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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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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Types Of Transformers01:16

Types Of Transformers

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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
If the ratio of the number of turns in the secondary winding to that of the primary winding is greater than one, then the transformer is said to be a step-up transformer. In a step-up transformer, the voltage at the secondary winding is greater than the voltage applied at the primary winding.
However, if this ratio is less than one, the transformer is said to be a step-down...
972
Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
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相关实验视频

Updated: Jun 29, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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多尾视觉变压器,用于高效的推理推理.

Yunke Wang1, Bo Du1, Wenyuan Wang2

  • 1School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence and Wuhan institute of Data Intelligence, Wuhan University, Wuhan, 430072, China.

Neural networks : the official journal of the International Neural Network Society
|April 2, 2024
PubMed
概括
此摘要是机器生成的。

多尾视觉变压器 (MT-ViT) 通过使用多个输入令牌序列来降低计算成本. 这种方法可以实现显著的效率提升,而不会牺牲图像识别的准确性.

关键词:
动态神经网络 动态神经网络有效的推理推理.视觉变压器 视觉变压器

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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:

  • 视觉变压器 (ViT) 模型在图像识别方面表现出色,但由于输入令牌的二次复杂性而面临计算挑战.
  • 现有的方法在编码器内修剪令牌,使初始令牌化效率低下.

研究的目的:

  • 提出一个高效的视觉变压器架构,通过优化输入令牌序列,直接降低计算成本.
  • 推出一种新的多尾视觉变压器 (MT-ViT),可以平衡精度和计算效率.

主要方法:

  • 开发了一种多尾视觉变压器 (MT-ViT),具有多个尾巴,产生不同长度的视觉序列.
  • 集成了一个尾部预测器,使用Gumbel-Softmax技巧进行端到端优化,以选择最有效的尾部进行预测.
  • 在ImageNet-1K数据集上评估了MT-ViT.

主要成果:

  • MT-ViT实现了浮点操作 (FLOP) 的显著减少.
  • 与标准视觉变压器相比,该模型的准确性没有降低.
  • 在准确性和计算效率方面,MT-ViT的表现优于现有的方法.

结论:

  • 拟议的MT-ViT通过优化输入令牌化,有效地降低了视觉变压器中的计算复杂性.
  • MT-ViT为开发更高效,更准确的视觉模型提供了一个有希望的方向.
  • 这种方法为在资源有限的环境中部署视觉转换器提供了实际解决方案.