Dual Path Multi-modal High-Order Features for Textual Content based Visual Question Answering

Author / Creator

ICPR 2020 MAIN CONFERENCE (2021)

Conferences

ICPR 2020 MAIN CONFERENCE PS T3.8: Computer Vision and Intelligent Sensing (2021)

Available as

Online

Summary

As a typical cross-modal problem, visual question answering (VQA) has received increasing attention from the communities of computer vision and natural language processing. Reading and reasoning ab...

As a typical cross-modal problem, visual question answering (VQA) has received increasing attention from the communities of computer vision and natural language processing. Reading and reasoning about texts in the images is a burgeoning and important topic in VQA, especially for the visually impaired assistance applications. Given a image, it aims to predict an answer to a provided natural language question closely related to its textual contents. In this paper, we propose a novel end-to-end textual content based VQA model, which grounds question answering both on the visual and textual information.

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