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相关概念视频

Schemas01:42

Schemas

11.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
11.5K
Stereotype Content Model02:16

Stereotype Content Model

13.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
13.9K
Framing Effects03:26

Framing Effects

7.3K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.3K
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.0K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.0K
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

356
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
356
[3,3] Sigmatropic Rearrangement of 1,5-Dienes: Cope Rearrangement01:21

[3,3] Sigmatropic Rearrangement of 1,5-Dienes: Cope Rearrangement

2.6K
The Cope rearrangement is classified as a [3,3] sigmatropic shift in 1,5-dienes, leading to a more stable, isomeric 1,5-diene. The reaction involves a concerted movement of six electrons, four from two π bonds and two from a σ bond, via an energetically favorable chair-like transition state.
2.6K

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相关实验视频

Updated: May 29, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.5K

用语义模两可的学习来实现无偏的场景图形生成.

Shanjin Zhong1, Yang Cao2, Qiaosen Chen2

  • 1School of Artificial Intelligence, South China Normal University, Foshan, Guangdong, China.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

混合和平衡关系学习 (MBRL) 通过解决关系预测方面的挑战来改善场景图形生成. 这种模型不可知的方法提高了准确性,并处理不平衡的数据,以获得更好的视觉理解.

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:

  • 场景图形生成 (SGG) 识别图像中的对象及其关系.
  • SGG面临的挑战是长尾关系分布和模两可的语义关系.
  • 目前的方法很难用一热标签来表示关系之间的语义相似性.

研究的目的:

  • 提出一种模型无意识的方法,混合和平衡关系学习 (MBRL),以提高SGG的性能.
  • 为了解决长尾分布的局限性和关系预测中的语义模糊性.
  • 为了提高场景图形生成模型的准确性和稳定性.

主要方法:

  • MBRL将软标签分配给含义关系模糊的样本.
  • 它通过调整损失重量以适应细粒度和低频率关系来优化模型训练.
  • 该方法是模型不可知,允许与各种SGG架构集成.

主要成果:

  • 在SGG任务上,MBRL表现出高于最先进的方法的性能.
  • 在关系预测准确度方面观察到显著的改进.
  • 该方法有效地处理关系类别中的不平衡数据分布.
关键词:
长尾动物的分布 长尾动物的分布场景图形的生成场景图形的生成语义上的模两可.这是一个软标签.

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

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

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Last Updated: May 29, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

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

Published on: November 30, 2018

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

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结论:

  • MBRL为改善场景图形生成提供了有效的解决方案.
  • 这种方法提高了模型预测多样化和语义上相似关系的能力.
  • MBRL为推进人工智能的视觉理解提供了有价值的工具.