Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance

In this paper, we propose a novel scene retrieval and re-ranking method based on a text-to-image Generative Adversarial Network (GAN). The proposed method generates an image from an input query sentence based on the text-to-image GAN and then retrieves a scene that is the most similar to the generat...

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Bibliographic Details
Main Authors: Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8895780/