A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images

• URL: http://arxiv.org/abs/2008.05225v1
• Date: Wed, 12 Aug 2020 10:51:24 GMT
• Title: A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
• Authors: Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu
• Abstract summary: 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.
• Score: 26.48516754642218
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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