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

Observational Learning01:12

Observational Learning

795
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
795
Associative Learning01:27

Associative Learning

1.2K
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...
1.2K
Conditioned Taste Aversion01:14

Conditioned Taste Aversion

509
Conditioned taste aversion, also known as sauce béarnaise syndrome, is a phenomenon in which an individual develops an aversion to a certain food taste following a negative experience, typically illness. This form of aversion is a type of classical conditioning in which the taste of the food (conditioned stimulus, CS) is associated with the experience of illness (unconditioned stimulus, UCS).
A notable characteristic of conditioned taste aversion is that it often requires only a single...
509
Introduction to Learning01:18

Introduction to Learning

903
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
903

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

QARV++: An Improved Hierarchical VAE for Learned Image Compression.

IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society·2026
Same author

How Is U.S. Food-Insecurity Related to Dietary Quality? A Scoping Review to Inform Nutrition Security Across the Lifespan.

Nutrients·2026
Same author

Review of Coping Strategies to Prevent and Mitigate Food Insecurity in Households with Children.

Advances in nutrition (Bethesda, Md.)·2026
Same author

Concerns for United States food security amid changes in work requirements of the Supplemental Nutrition Assistance Program (SNAP) and the termination of nutrition education through the Supplemental Nutrition Assistance Program-Education (SNAP-Ed).

The American journal of clinical nutrition·2026
Same author

Consuming Primarily Egg Dishes and Eggs as Ingredients among United States Adolescents Is Associated with Greater Usual Nutrient Intakes Compared with Not Consuming Eggs.

The Journal of nutrition·2026
Same author

Physically Informed 3D Food Reconstruction: Methods and Results.

IEEE journal of biomedical and health informatics·2026
Same journal

Screen Detection from Egocentric Image Streams Leveraging Multi-View Vision Language Model.

IEEE transactions on multimedia·2026
Same journal

Support Vector Regression-based Reduced-Reference Perceptual Quality Model for Compressed Point Clouds.

IEEE transactions on multimedia·2024
Same journal

Cross Modality Bias in Visual Question Answering: A Causal View with Possible Worlds VQA.

IEEE transactions on multimedia·2024
Same journal

Indoor Camera Pose Estimation from Room Layouts and Image Outer Corners.

IEEE transactions on multimedia·2023
Same journal

Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures.

IEEE transactions on multimedia·2023
Same journal

Real-Time and Accurate UAV Pedestrian Detection for Social Distancing Monitoring in COVID-19 Pandemic.

IEEE transactions on multimedia·2022
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K

长尾持续学习用于视觉识别食物

Jiangpeng He1, Xiaoyan Zhang2, Luotao Lin3

  • 1Massachusetts Institute of Technology, Cambridge 02139, USA, and also with Purdue University, West Lafayette 47906, USA.

IEEE transactions on multimedia
|December 8, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了食品识别的新框架,该框架解决了学习新食品和处理不平衡数据集的挑战. 该方法提高了罕见食品类别的准确性,这对于现实应用至关重要.

关键词:
持续的学习 持续的学习数据增强数据增强食品的认可 食品的认可知识的蒸知识的蒸.长尾分布分布的长尾动物

更多相关视频

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

802
Appetitive Associative Olfactory Learning in Drosophila Larvae
09:22

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

19.6K

相关实验视频

Last Updated: Jan 9, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.9K
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

802
Appetitive Associative Olfactory Learning in Drosophila Larvae
09:22

Appetitive Associative Olfactory Learning in Drosophila Larvae

Published on: February 18, 2013

19.6K

科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 对于食品识别的深度学习面临着新的食品类别和不平衡的数据集 (长尾分布) 的挑战.
  • 现有的方法在不断学习和准确识别稀有食品方面扎.

研究的目的:

  • 开发一个强大的食品识别系统,能够持续学习和处理长尾数据分布.
  • 为了改善一般化,例如,在现实世界的场景中,稀有食品类别.

主要方法:

  • 引入了186种美国食品和基准数据集的新数据集 (VFN186-LT,VFN186-INSULIN,VFN186-T2D).
  • 提出了一种使用知识蒸的新型端到端框架,以防止在持续学习过程中出现表示错位.
  • 实现了增强技术,集成类激活地图 (CAM) 和CutMix,用于罕见的类泛化.

主要成果:

  • 提出的方法在多个基准数据集 (Food101-LT,VFN-LT,VFN186-LT,VFN186-INSULIN,VFN186-T2DM) 上显示出与现有方法相比的显著改进.
  • 该框架有效地提高了例如稀有食品等级的概括性.
  • 废弃性研究证实了性能提升,突出了该方法的潜力.

结论:

  • 新的框架成功地解决了食品识别的长尾持续学习的关键挑战.
  • 提出的技术为现实世界食品识别应用提供了有希望的解决方案,特别是对于多样化和不平衡的食品数据.