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Turbo Learning for Captionbot and Drawingbot
[article]
2018
arXiv
pre-print
We study in this paper the problems of both image captioning and text-to-image generation, and present a novel turbo learning approach to jointly training an image-to-text generator (a.k.a. CaptionBot) and a text-to-image generator (a.k.a. DrawingBot). The key idea behind the joint training is that image-to-text generation and text-to-image generation as dual problems can form a closed loop to provide informative feedback to each other. Based on such feedback, we introduce a new loss metric by
arXiv:1805.08170v2
fatcat:dc3xedekljhrha6r3f3lfaciqa