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

Modeling and Similitude01:12

Modeling and Similitude

268
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
268
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

107
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...
107
Associative Learning01:27

Associative Learning

404
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
404
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

218
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
218

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

Intermittent hypoxic conditioning as a novel strategy for obesity treatment: current evidence and future perspectives.

Frontiers in physiology·2026
Same author

Creation of a computational space with model-free metasurface neural network.

Nature communications·2026
Same author

BioTD: An Online Database of Biotoxins.

Journal of chemical information and modeling·2026
Same author

Chromium tolerance mechanisms in Cosmos sulphureus: antioxidant defense and potential role of pectin chelation-based detoxification.

BMC plant biology·2026
Same author

Field-Free Spin-Splitting-Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High-Performance Recognition.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Advancing IBD Management: A Literature Review on the Role of Non-Invasive Blood-Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment.

Clinical and translational science·2026

相关实验视频

Updated: Jul 9, 2025

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

15.7K

自律的多晶体交叉模式交互建模用于引用表达式理解.

Peihan Miao, Wei Su, Gaoang Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |December 5, 2023
    PubMed
    概括

    这项研究引入了参考表达式理解 (REC) 的新框架,有效地整合了多层次的视觉和语言信息. 该模型通过从复杂的例子进行自适应式学习来增强语言到视觉本地化.

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 引用表达式理解 (REC) 是一个具有挑战性的视觉语言任务.
    • 准确的REC需要整合从视觉和语言模式的多粒度信息.
    • 处理多样化的视觉场景和语言变异,特别是在硬实例中,至关重要.

    研究的目的:

    • 提出一个新的框架,以加强语言到视觉本地化在REC.
    • 为了有效地汇总来自不同模式的多层次信息.
    • 为了提高模型从丰富信息的艰难例子中学习的能力.

    主要方法:

    • 提出了一个自律的多粒度交叉模式交互模型框架.
    • 设计了一个基于变压器的多粒度交叉模式注意力机制.
    • 引入了一种自动步进的样本信息性学习策略,以处理样本差异.

    主要成果:

    • 拟议的框架显著优于现有的最先进的方法.
    • 在广泛使用的数据集上证明有效性:RefCOCO,RefCOCO+,RefCOCOg和RefItGame.
    • 网络结构和学习机制的创新有助于提高性能.

    更多相关视频

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

    Published on: October 13, 2018

    10.0K
    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
    08:32

    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

    Published on: September 5, 2019

    5.7K

    相关实验视频

    Last Updated: Jul 9, 2025

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    15.7K
    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
    09:27

    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

    Published on: October 13, 2018

    10.0K
    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
    08:32

    Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks

    Published on: September 5, 2019

    5.7K

    结论:

    • 自走式多粒度交叉模式交互模型框架有效地解决了REC中的挑战.
    • 该方法成功地汇总了多层次的信息,并从艰难的例子中学习.
    • 该方法在语言到视觉本地化任务中显示出显著的改进.