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相关概念视频

Retrieval01:12

Retrieval

503
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
503

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相关实验视频

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带走迷路的域回家为单个源域可通用的文本到图像人体检索

Guan-Nan Dong, Yumeng Yang, Zijie Wang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 12, 2026
    PubMed
    概括

    这项研究介绍了单源域可通用的文本到图像人检索 (SSDG-TIPR) 用于现实世界监控. 提议的TIME方法有效地将模型适应到未见的领域,实现最先进的性能.

    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:

    • 文本到图像人体检索 (TIPR) 通常假定统一的数据分布,限制现实世界的适用性.
    • 监控数据通常来自不同的场景,违反统一领域假设.
    • 现有的TIPR方法因数据收集环境的多样化而扎于领域转移.

    研究的目的:

    • 引入单个源域可通用的文本到图像人检索 (SSDG-TIPR) 以实现现实的监控.
    • 解决SSDG-TIPR中有限的培训数据的挑战.
    • 提出一种新的方法,TIME,以适应模型到未见的目标领域.

    主要方法:

    • 提出单个源域可通用的文本到图像人检索 (SSDG-TIPR) 任务.
    • 介绍"把它带回家" (TIME) 方法用于域名概括.
    • 时间包括域迷失引领 (DAL),域不变特征提取 (DIFE) 和域回家 (DoT) 模块.

    主要成果:

    • 时间在10个SSDG-TIPR子任务上表现出卓越的表现.
    • 该方法还在3个传统的TIPR子任务上取得了最先进的结果.
    • 在CUHK-PEDES,ICFG-PEDES和RSTPReid基准数据集上进行评估.

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    结论:

    • 提议的TIME方法有效地处理文本到图像人检索的域移动.
    • 对于实际的监控应用,SSDG-TIPR是一个更现实的,更具挑战性的任务.
    • 时间为SSDG-TIPR和传统TIPR设置建立了一个新的最先进的技术.