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

Language and Cognition01:27

Language and Cognition

276
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.
276
Vision01:24

Vision

52.2K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
52.2K

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

ILD-Slider: A Parameter-Efficient Model for Identifying Progressive Fibrosing Interstitial Lung Disease from Chest CT Slices.

Journal of imaging·2025
Same author

E-InMeMo: Enhanced Prompting for Visual In-Context Learning.

Journal of imaging·2025
Same author

Unleashing the Power of Contrastive Learning for Zero-Shot Video Summarization.

Journal of imaging·2024
Same author

Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation.

Journal of imaging·2024
Same author

Deep UV-excited fluorescence microscopy installed with CycleGAN-assisted image translation enhances precise detection of lymph node metastasis towards rapid intraoperative diagnosis.

Scientific reports·2023
Same author

Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology.

Cancer cytopathology·2022
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
查看所有相关文章

相关实验视频

Updated: May 8, 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

15.6K

学习更多可能并不更好:视觉和语言任务中的知识可转移性

Tianwei Chen1, Noa Garcia1, Mayu Otani2

  • 1Institute for Datability Science, Osaka University, Osaka 565-0871, Japan.

Journal of imaging
|December 27, 2024
PubMed
概括
此摘要是机器生成的。

获得更多的知识并不总是有利于视觉和语言模型. 这项研究表明,知识的可转移性各不相同,并非所有添加的数据都能提高多模式任务的性能.

关键词:
分析知识的可转移性 分析知识的可转移性多模式学习是多模式学习.视觉和语言视觉和语言

更多相关视频

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.4K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.4K

相关实验视频

Last Updated: May 8, 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

15.6K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.4K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.4K

科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 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:

  • 机器学习的普遍趋势假定聚合各种数据集可以提高模型的整体性能.
  • 然而,即使有共同的目标,跨不同任务的知识转移的有效性仍然未得到充分研究.

研究的目的:

  • 研究视觉和语言模型中知识可转移性的细微差别.
  • 为了确定是否增加知识的获取普遍导致在多模式任务的性能提高.

主要方法:

  • 进行了广泛的交叉实验,涉及数百个试验.
  • 分析了12个不同的视觉和语言任务,根据任务相关性分为四个类别.

主要成果:

  • 证明知识转移并不总是有益的;一些知识会对相关任务产生负面影响.
  • 观察到,同一组内的任务并不能通过知识转移一致地相互改进.
  • 确定了数据集大小和预培训阶段作为影响知识转移效率的重要因素.

结论:

  • 对于视觉和语言模型来说,更多的知识总是更好的假设受到挑战.
  • 在多模式学习中,有效的知识转移是复杂和任务依赖的,受任务相似性以外的因素的影响.