相关实验视频

Updated: May 24, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

451

全球交叉损失对深层面部识别的损失

Weisong Zhao, Xiangyu Zhu, Haichao Shi

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 5, 2025
    PubMed
    概括

    本研究介绍了全球交叉损失 (GCE),通过增强相似性区别来改善深度面部识别. 拟议的GFace模型在多个基准测试中显示出卓越的性能.

    更多相关视频

    Deep Neural Networks for Image-Based Dietary Assessment13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    8.9K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.6K

    相关概念视频

    Reducing Line Loss01:18

    Reducing Line Loss

    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...
    141
    Improving Translational Accuracy02:07

    Improving Translational Accuracy

    2.5K
    Force Classification01:22

    Force Classification

    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,...
    1.1K
    Detection of Gross Error: The Q Test01:00

    Detection of Gross Error: The Q Test

    When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
    5.2K
    Mean Absolute Deviation01:13

    Mean Absolute Deviation

    The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
    Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
    2.6K
    Regression Toward the Mean01:52

    Regression Toward the Mean

    Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
    6.3K