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

Cognitive Dissonance01:38

Cognitive Dissonance

36.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
36.8K
Fixed Action Patterns01:06

Fixed Action Patterns

17.5K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.5K
Action Potential01:31

Action Potential

4.4K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
4.4K
Action Potential01:14

Action Potential

10.8K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
10.8K
Action Potentials01:41

Action Potentials

141.5K
Overview
141.5K
Antibody Actions01:26

Antibody Actions

2.4K
Antibodies, or immunoglobulins, are critical players in the immune system's arsenal against invading pathogens. Produced by B cells and plasma cells, their primary role is to detect and bind to specific antigens, molecules found on the surface of pathogens like bacteria or viruses. Beyond antigen recognition, antibodies perform several vital functions that contribute to immune defense.
Neutralization
Antibodies can bind to pathogens, preventing them from infecting host cells. This process...
2.4K

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

Cadonilimab plus chemotherapy with or without bevacizumab as first-line treatment for advanced cervical cancer: subgroup analyses from the COMPASSION-16 phase 3 trial.

Nature communications·2026
Same author

Retinoic Acid Reprograms Mast Cells Toward a Proinflammatory State to Enhance Antitumor Immunity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Immunotherapy and senolytics in head and neck squamous cell carcinoma: phase 2 trial results.

Nature medicine·2025
Same author

Mature tertiary lymphoid structures linked to HPV status and anti-PD-1 based chemoimmunotherapy response in head and neck squamous cell carcinoma.

Oncoimmunology·2025
Same author

Finder-I for Locating Anterolateral Thigh Perforators in Head and Neck Reconstruction: A Diagnostic Study.

Head & neck·2025
Same author

Augmented reality in preoperative anterolateral thigh flap perforators positioning: A pilot diagnostic study.

Oral oncology·2025

相关实验视频

Updated: Jan 21, 2026

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.7K

可可适配器:通过自我约束的多认知适配器有效地进行端到端的时间动作检测.

Lizao Zhang1, Qiuhong Tian1, Junxiao Ning2

  • 1Department of Computer Science and Technology,Zhejiang Sci-Tech University, No. 928, 2nd Street, Qianjiang District, Hangzhou, 310018, Zhejiang, China.

Neural networks : the official journal of the International Neural Network Society
|January 19, 2026
PubMed
概括

这项研究引入了CocoAdapter来减少时间动作检测 (TAD) 训练中的内存使用量. 新型CocoTad模型通过有效微调适配器参数来实现最先进的性能.

关键词:
适配器调整调整终端到终端的培训.参数效率调整是指参数效率调整.时间动作检测检测器

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K

相关实验视频

Last Updated: Jan 21, 2026

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.7K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K

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:

  • 通过优化视频编码器和动作分类器,临时动作检测 (TAD) 端到端培训可以提高性能.
  • 显著的记忆瓶阻碍了当前端到端TAD训练方法的有效性.

研究的目的:

  • 通过引入一个新的适配器模块来解决端到端TAD中的内存限制.
  • 开发一个专门的适配器,CocoAdapter,专为TAD任务设计.
  • 建立一个新的基线模型,CocoTad,利用拟议的适配器.

主要方法:

  • 拟议的CocoAdapter具有自我约束的投影层,以根据网络深度调整卷积组.
  • 实施了微调策略,只更新适配器参数,减少计算开销.
  • 构建了CocoTad基线,将CocoAdapter集成为端到端的TAD.

主要成果:

  • 在端到端训练期间,CocoTad显著降低了记忆消耗.
  • 拟议的方法在四个基准数据集上实现了最先进的性能.
  • 评估表明,与现有方法相比,平均精度 (mAP) 优越.

结论:

  • CocoAdapter有效地缓解了端到端TAD中的内存瓶.
  • CocoTad提供了一种高效,高性能的解决方案,用于时间动作检测.
  • 基于适配器的方法促进了先进的TAD模型的实际部署.