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: Jan 8, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

991

Meta-TIP:一个无监督的端到端融合网络,用于多个数据集的风格适应威胁图像投影.

Bowen Ma, Tong Jia, Hao Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |December 19, 2025
    PubMed
    概括
    此摘要是机器生成的。

    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

    Contextual Style Coherence Network for X-Ray Prohibited Item Image Synthesis.

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

    Global and Local Visual-Textual Alignment for Open Vocabulary Object Detection.

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

    Efficient real time small object detection framework in aerial images using edge awareness and dynamic convolution.

    Scientific reports·2026
    Same author

    Rewiring the immune response in lung cancer: current progress in bispecific antibodies, CAR-T therapy, and the rise of <i>in vivo</i> CAR-T platforms.

    Frontiers in immunology·2026
    Same author

    The role of astrocytic GSDME in Sepsis-associated cognitive dysfunction.

    International immunopharmacology·2026
    Same author

    Irradiation-Induced Phase Stability in Ti- and Nb-Containing Nickel-Based High-Entropy Alloys at 500 °C.

    Nanomaterials (Basel, Switzerland)·2026
    Same journal

    Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

    AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

    BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

    GoP-based Quality Enhancement on Video Compression.

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

    Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

    Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
    查看所有相关文章

    "Meta-TIP"是一个新的无监督框架,用于威胁图像投影 (TIP),增强X射线行李查. 它通过自适应地投射禁止物品来生成现实的合成图像,从而改善安全系统的培训.

    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 图像处理 图像处理

    背景情况:

    • 威胁图像投影 (TIP) 对于训练安全人员和人工智能系统进行X射线行李查至关重要.
    • 现有的基于原则和基于GAN的TIP方法在灵活性,风格一致性,培训稳定性和可解释性方面存在局限性.

    研究的目的:

    • 开发一个灵活的,无监督的,端到端的威胁图像投影 (TIP) 框架.
    • 通过生成视觉一致和真实的合成X射线图像来克服现有的TIP方法的局限性.

    主要方法:

    • 推出了Meta-TIP,这是一个新的无监督框架,用于适应风格的威胁图像投影.
    • 开发了一种前景-背景对比的损失,用于纯粹的禁止物品重建.
    • 实现了物质意识的风格适应投影模块,用于外观控制.
    • 设计了一个基于TIP原则的对数损失,用于无监督优化.

    主要成果:

    • Meta-TIP成功地从杂乱的源图像中重建纯粹的禁止物品.
    • 该框架以适应的方式将项目投射到目标X射线图像上,并保持风格的一致性.
    • 在四个公共数据集 (SIXray,OPIXray,PIXray,PIDray) 中验证了合成图像的真实性和训练效果.

    相关实验视频

    Last Updated: Jan 8, 2026

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    991

    结论:

    • 在概念上,Meta-TIP提供了一个简单,灵活和无监督的TIP方法.
    • 该框架产生高度现实的合成X射线图像,没有任何限制.
    • 在安全查培训中,Meta-TIP显著提高了合成数据的质量和适用性.