Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering. Cognition is core to tasks that involve not just recognizing, but reasoning about our visual world. However, models used to tackle th...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of computer vision Vol. 123; no. 1; pp. 32 - 73
Main Authors:	Krishna, Ranjay, Zhu, Yuke, Groth, Oliver, Johnson, Justin, Hata, Kenji, Kravitz, Joshua, Chen, Stephanie, Kalantidis, Yannis, Li, Li-Jia, Shamma, David A., Bernstein, Michael S., Fei-Fei, Li
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2017 Springer Springer Nature B.V
Subjects:	Analysis Annotations Artificial Intelligence Carriages Cognition & reasoning Cognitive tasks Computer Imaging Computer Science Computer simulation Computer vision Computers Crowdsourcing Datasets Genomes Genomics Graph representations Image Processing and Computer Vision Image processing systems Image retrieval Language Mathematical models Natural language processing Pattern Recognition Pattern Recognition and Graphics Questioning Studies Tasks Vision Vision systems United States > US Crowdsourcing Computer vision Relationships Scene graph Language Dataset Objects Attributes Question answering Image Knowledge
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!