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相关概念视频

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...
1.1K
Types Of Transformers01:16

Types Of Transformers

965
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...
965
Energy Losses in Transformers01:21

Energy Losses in Transformers

860
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be  the high resistance of the...
860
Improving Translational Accuracy02:07

Improving Translational Accuracy

9.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
9.9K
Upsampling01:22

Upsampling

224
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
224
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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相关实验视频

Updated: Jun 21, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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高保真性和高效的多元化图像完成与变压器.

Ziyu Wan, Jingbo Zhang, Dongdong Chen

    IEEE transactions on pattern analysis and machine intelligence
    |July 9, 2024
    PubMed
    概括

    这项研究介绍了一种新的图像完成方法,将变压器和CNN结合起来,以增强结构和纹理. 一个新的解码策略,TAPS,显著加快推断,同时保持高质量,多样化的结果.

    科学领域:

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

    背景情况:

    • 卷积神经网络 (CNN) 在纹理建模方面表现出色,但在全球结构和多元化图像完成方面扎.
    • 变压器有效地模拟远程依赖关系并产生多样化的输出,但在高分辨率图像方面面临计算挑战.
    • 现有的变压器自动回归采样对于解码各种图像完成结果是低效的.

    研究的目的:

    • 开发一种有效和高效的方法,用于多元化的图像完成.
    • 将变压器和CNN的优势结合起来,实现卓越的图像重建.
    • 为基于变压器的图像完成引入更快的解码策略.

    主要方法:

    • 一种使用变压器进行外观前重建和CNN进行纹理补充的混合方法.
    • 实施一种新的解码策略,即温度回火概率采样 (TAPS),以进行高效的推断.
    • 设计一种纹理感知指导注意模块,以提高现实性和解决边界文物.

    主要成果:

    • 拟议的方法在图像保真性和多元化完成质量方面明显优于最先进的方法.
    • 在保持高质量和多样性的同时,TAPS实现了超过70倍的推理速度.
    • 该方法在像ImageNet.Net这样的大型面具和数据集上表现出异常的概括性.

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  • 纹理感知引导注意模块增强了现实主义和连贯性,减轻了边界工件.
  • 结论:

    • 混合变压器-CNN方法为多元化图像完成提供了强大的解决方案.
    • TAPS为基于变压器的图像生成提供了显著的效率提高.
    • 开发的方法在图像完成任务中实现了卓越的性能,多样性和概括能力.