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

相关实验视频

Updated: Jul 11, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K

频道增强可见红外再识别的通道增强.

Mang Ye, Zesen Wu, Cuiqun Chen

    IEEE transactions on pattern analysis and machine intelligence
    |November 15, 2023
    PubMed
    概括

    这项研究引入了用于可见红外再识别的新道增强,增强了对颜色变化的强度. 该方法显著提高了跨模式匹配任务的准确性.

    相关概念视频

    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

    Injecting reasoning into vision-language models via weight-decomposed merging.

    Neural networks : the official journal of the International Neural Network Society·2026
    Same author

    Author Correction: Towards clinical-level interpretation of dental panoramic radiography using an instance-guided vision-language model.

    Nature biomedical engineering·2026
    Same author

    DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation Without Information Leakage.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    Same author

    LoRASculpt: Harmonious Low-Rank Adaptation for Multimodal Large Language Models.

    IEEE transactions on pattern analysis and machine intelligence·2026
    Same author

    Towards clinical-level interpretation of dental panoramic radiography using an instance-guided vision-language model.

    Nature biomedical engineering·2026
    Same author

    Systemic immune-inflammation index predicts post-thrombectomy outcomes and reveals a mediating role in the association between neurocardiac stress and prognosis: a multicenter study.

    Frontiers in neurology·2026

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 图像处理 图像处理

    背景情况:

    • 可见红外再识别 (VI-ReID) 面临的挑战是由于显著的域间隙.
    • 现有的可视图像增强技术往往忽视了对VI-ReID至关重要的交叉模式特性.

    研究的目的:

    • 开发先进的通道增强策略,以实现强大的可见红外再识别.
    • 为了提高跨模式的度量学习和无监督的VI-ReID性能.

    主要方法:

    • 通过随机交换颜色通道来创建与颜色无关的图像,引入了一种新的通道增强技术.
    • 设计了一种增强的道混合学习策略,用于同时处理模式内和模式间的变化.
    • 开发了一个弱强增强联合学习策略与一致性规范化.
    • 提出了使用标签关联和模式特定集群的无监督学习基线.

    主要成果:

    • 拟议的通道增强始终提高了对VI-ReID的颜色变化的稳定性.
    • 增强的道混合学习和联合增强策略显著提高了歧视性.
    • 无监督基线实现了最先进的性能,超过了现有的单模式解决方案.
    • 在没有辅助信息的情况下,在SYSU-MM01数据集上实现了71.48%/68.15%的Rank-1/mAP.

    结论:

    • 开发的道增强和学习策略为可见红外再识别提供了强大而简单的方法.
    • 提出的方法有效地解决了跨模式的变化,并增强了无监督学习能力.
    • 这项工作在可见红外人重新识别领域取得了重大进展.

    更多相关视频

    Visually Mediated Odor Tracking During Flight in Drosophila
    08:50

    Visually Mediated Odor Tracking During Flight in Drosophila

    Published on: January 26, 2009

    10.0K
    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
    08:47

    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

    Published on: February 9, 2024

    1.5K

    相关实验视频

    Last Updated: Jul 11, 2025

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

    7.7K
    Visually Mediated Odor Tracking During Flight in Drosophila
    08:50

    Visually Mediated Odor Tracking During Flight in Drosophila

    Published on: January 26, 2009

    10.0K
    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
    08:47

    Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

    Published on: February 9, 2024

    1.5K