Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Force Classification01:22

Force Classification

2.3K
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,...
2.3K
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.4K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K
Detection of Black Holes01:10

Detection of Black Holes

2.5K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.5K
Perceptual Constancy01:12

Perceptual Constancy

1.3K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.3K
Classification of Signals01:30

Classification of Signals

1.3K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Identification and Functional Characterization of the Mungbean Yellow Mosaic India Virus Resistant Gene <i>VrADH</i> Using a MAGIC Population.

Journal of agricultural and food chemistry·2026
Same author

Pannexin 1 attenuates hepatic steatosis and insulin resistance via AMPK-autophagy axis activation.

Cellular and molecular life sciences : CMLS·2026
Same author

Deep Error-Aware Iterative Optimization Network for Broadband Mosaiced Hyperspectral Imaging.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Directional Concerted Proton-Electron Transfer in COFs for Efficient Photocatalytic H<sub>2</sub>O<sub>2</sub> Production.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Self-Evolving Multi-Agent Fuzzing for Industrial IoT with Knowledge-Driven Cognitive Reasoning.

Sensors (Basel, Switzerland)·2026
Same author

Quorum sensing-mediated odor regulation in livestock and poultry manure: an emerging perspective.

Water research·2026
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: Jan 18, 2026

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

1.0K

连续特征表示用于伪装对象检测.

Ze Song, Xudong Kang, Xiaohui Wei

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |September 8, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了一种用于伪装物体检测 (COD) 的新型连续特征表示网络 (CFRN). CFRN增强了特征表示,大大提高了检测隐藏在复杂背景中的对象的能力.

    更多相关视频

    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
    08:47

    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

    Published on: February 9, 2024

    2.1K

    相关实验视频

    Last Updated: Jan 18, 2026

    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

    1.0K
    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
    08:47

    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

    Published on: February 9, 2024

    2.1K

    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 图像处理 图像处理

    背景情况:

    • 伪装物体检测 (COD) 识别了与环境无集成的物体.
    • 目前的COD方法使用离散的基于像素的功能,难以调整尺度并模糊微妙的线索.
    • 这种限制阻碍了对伪装目标的准确检测.

    研究的目的:

    • 为改进COD提出一个新的连续特征表示网络 (CFRN).
    • 解决现有的COD方法中离散特征表示的局限性.
    • 增强检测微妙的辨别线索的检测,这对于识别伪装对象至关重要.

    主要方法:

    • 使用Swin变压器编码器进行全球上下文探索.
    • 实现了层次对象聚焦模块 (OFM) 来挖掘微妙的歧视线索.
    • 引入了一种基于频率的隐性特征解码器 (FIFD),使用隐性神经表示来进行连续解码.

    主要成果:

    • 拟议的CFRN在四个具有挑战性的COD基准标准上显著优于最先进的方法.
    • 连续的特征表示有效地传播了更清晰的歧视性线索.
    • OFM成功地突出了伪装的物体,同时抑制了分心的因素.

    结论:

    • 通过利用连续特征表示,CFRN为伪装物体检测提供了卓越的方法.
    • 该方法有效地克服了离散表示中固有的微妙线索的模糊.
    • 这项工作通过提供更强大,更准确的检测框架,推动了COD领域的发展.