Paper Info
Title
Visual Dialog.
Abstract
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a question about the image, the agent has to ground the question in image, infer context from history, and answer the question accurately. Visual Dialog is disentangled enough from a specific downstream task so as to serve as a general test of machine intelligence, while being sufficiently grounded in vision to allow objective evaluation of individual responses and benchmark progress. We develop a novel two-person real-time chat data-collection protocol to curate a large-scale Visual Dialog dataset (VisDial). VisDial v0.9 has been released and consists of dialog question-answer pairs from 10-round, human-human dialogs grounded in images from the COCO dataset.
Year
DOI
Venue
2017
10.1109/TPAMI.2018.2828437
CVPR
Keywords
DocType
Volume
Visualization,Task analysis,Artificial intelligence,History,Protocols,Natural languages,Wheelchairs
Conference
abs/1611.08669
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
Abhishek Das143323.54
satwik kottur2194.13
Khushi Gupta300.34
avi singh482.86
Deshraj Yadav500.34
José M. F. Moura65137426.14
Devi Parikh72929132.01
Dhruv Batra82142104.81