  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.
