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Directional Terms01:14

Directional Terms

Directional terms are essential for describing the relative locations of different body structures. For instance, an anatomist might describe one band of tissue as "inferior to" another, or a physician might describe a tumor as "superficial to" a deeper body structure. These terms often use comparative terms in pairs to trace out the relative locations of one body part to another or descriptions of body tissues like the deeper ones from superficially present with reference to the body's upright...

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基于反向诱导的深度图像搜索.

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  • 1Department of Industrial Engineering, Yonsei University, Seoul, Republic of Korea.

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概括
此摘要是机器生成的。

条件图像检索 (CIR) 通过倒向搜索 (Backward Search) 改进,这是一个反向映射方法. 这种方法有效地根据概念和条件获取图像,优于现有方法,并通过知识蒸来减少计算时间.

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 条件图像检索 (CIR) 对于高效的图像搜索和分析至关重要.
  • 像复合图像检索 (CoIR) 这样的现有方法需要昂贵的数据集 (三重组或图像-文本对).

研究的目的:

  • 开发一种新的CIR方法,绕过对广泛数据集的需求.
  • 为了使CIR在图像层面的概念使用反向映射方法.

主要方法:

  • 拟议的倒向搜索方法更新了查询嵌入,以匹配指定的条件.
  • 采用反向映射方法来利用模型的诱导知识.
  • 使用知识蒸来显著减少计算时间.

主要成果:

  • 逆向搜索在WikiArt,aPY和CUB数据集上获得了0.541的平均mAP@10,超过了CoIR方法.
  • 知识蒸使学生模型的速度高达160倍,性能损失最小.
  • 展示了有效的单个和多条件图像检索.

结论:

  • 倒向搜索提供了一种高效和有效的解决方案,用于使用图像级概念的条件图像检索.
  • 该方法减少了对昂贵的注释数据集的依赖.
  • 知识蒸为部署更快的CIR模型提供了一个实际的途径.