论文标题
零拍的基于草图的模式间对象检索方案，用于遥感图像
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
论文作者
论文摘要
遥感（RS）中的常规现有检索方法通常基于单模式数据检索框架。在这项工作中，我们提出了一种基于RS数据的基于草图的表示形式，提出了一种新型的基于模式间三重态的零击检索方案。即使草图表示的图像略有原型，提出的方案也有效地执行。我们在本研究中构思的画布上（EOC）上进行了一个新的双模式图像 - 缝数据集进行了实验。我们对该数据集进行了彻底的台式标记，并证明所提出的网络在遥感中的基于零拍的检索框架的其他最新方法优于其他最先进的方法。
Conventional existing retrieval methods in remote sensing (RS) are often based on a uni-modal data retrieval framework. In this work, we propose a novel inter-modal triplet-based zero-shot retrieval scheme utilizing a sketch-based representation of RS data. The proposed scheme performs efficiently even when the sketch representations are marginally prototypical of the image. We conducted experiments on a new bi-modal image-sketch dataset called Earth on Canvas (EoC) conceived during this study. We perform a thorough bench-marking of this dataset and demonstrate that the proposed network outperforms other state-of-the-art methods for zero-shot sketch-based retrieval framework in remote sensing.
