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Towards End-to-End In-Image Neural Machine Translation (2010.10648v1)

Published 20 Oct 2020 in cs.CL, cs.CV, and cs.LG

Abstract: In this paper, we offer a preliminary investigation into the task of in-image machine translation: transforming an image containing text in one language into an image containing the same text in another language. We propose an end-to-end neural model for this task inspired by recent approaches to neural machine translation, and demonstrate promising initial results based purely on pixel-level supervision. We then offer a quantitative and qualitative evaluation of our system outputs and discuss some common failure modes. Finally, we conclude with directions for future work.

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