Generating Natural Questions About an Image

03/19/2016
by   Nasrin Mostafazadeh, et al.
0

There has been an explosion of work in the vision & language community during the past few years from image captioning to video transcription, and answering questions about images. These tasks have focused on literal descriptions of the image. To move beyond the literal, we choose to explore how questions about an image are often directed at commonsense inference and the abstract events evoked by objects in the image. In this paper, we introduce the novel task of Visual Question Generation (VQG), where the system is tasked with asking a natural and engaging question when shown an image. We provide three datasets which cover a variety of images from object-centric to event-centric, with considerably more abstract training data than provided to state-of-the-art captioning systems thus far. We train and test several generative and retrieval models to tackle the task of VQG. Evaluation results show that while such models ask reasonable questions for a variety of images, there is still a wide gap with human performance which motivates further work on connecting images with commonsense knowledge and pragmatics. Our proposed task offers a new challenge to the community which we hope furthers interest in exploring deeper connections between vision & language.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 6

page 7

03/11/2020

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Captioning is a crucial and challenging task for video understanding. In...
09/23/2020

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers

Mirroring the success of masked language models, vision-and-language cou...
04/04/2021

FixMyPose: Pose Correctional Captioning and Retrieval

Interest in physical therapy and individual exercises such as yoga/dance...
08/09/2017

Learning to Disambiguate by Asking Discriminative Questions

The ability to ask questions is a powerful tool to gather information in...
11/09/2020

CapWAP: Captioning with a Purpose

The traditional image captioning task uses generic reference captions to...
04/08/2019

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense

Commonsense reasoning is a critical AI capability, but it is difficult t...
11/17/2016

Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic

In this work, we explore a genre of puzzles ("image riddles") which invo...

Code Repositories

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.