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相关概念视频

Structural Classification of Joints01:20

Structural Classification of Joints

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
460
Lateralization01:28

Lateralization

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Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
328
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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相关实验视频

Updated: Jun 27, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

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通过结构的时空空间对齐来增强视频语言表示.

Hao Fei, Shengqiong Wu, Meishan Zhang

    IEEE transactions on pattern analysis and machine intelligence
    |April 25, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了Finsta,一种新的方法,通过对准细粒度的结构时空信息来增强视频语言模型 (VLM). 芬斯塔可以提高各种任务的VLM性能,而不需要重新训练或场景图标注.

    更多相关视频

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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    Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
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    相关实验视频

    Last Updated: Jun 27, 2025

    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
    11:52

    Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

    Published on: February 9, 2017

    5.9K
    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

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

    • 人工智能的人工智能
    • 计算机视觉 计算机视觉
    • 自然语言处理自然语言处理.

    背景情况:

    • 大规模的视频语言模型 (VLM) 是有前途的,但在粗的对齐,时间动态和独立的模式方面存在困难.
    • 现有的方法往往缺乏对视频和文本内的空间和时间关系的细粒度理解.

    研究的目的:

    • 通过引入一个名为 Finsta. 的细粒度结构时空对齐学习方法来增强视频语言模型 (VLM).
    • 改善现有VLM的跨模式对齐,时间建模和整体性能.

    主要方法:

    • 使用细粒度场景图 (SG) 结构表示文本和视频,统一为整体的SG (HSG).
    • 采用图形变压器进行文本式SG (TSG) 编码,并使用循环图形变压器进行视频动态SG (DSG) 和HSG建模.
    • 使用时空高斯微分图转换器来捕捉跨维的对象变化,并执行以对象为中心的空间和以预言为中心的时间对齐.

    主要成果:

    • Finsta 持续改进了现有的 13 个高性能 VLM,跨越 6 个视频语言任务和 12 个数据集.
    • 在微调和零射击设置中都实现了显著的最先进的性能增强.
    • 插即用系统无集成,不需要从头开始的训练或下游的场景图表注释.

    结论:

    • Finsta提供了一种有效的插件解决方案,用于增强VLM,以增强时空理解.
    • 该方法显著提高了各种视频语言任务的性能,建立了新的最先进的基准.
    • 芬斯塔在不需要广泛的再培训的情况下改进现有模型的能力使其成为VLM研究和应用的多功能工具.