Web: http://arxiv.org/abs/2209.10474

Sept. 22, 2022, 1:14 a.m. | Khanh Nguyen, Ali Furkan Biten, Andres Mafla, Lluis Gomez, Dimosthenis Karatzas

cs.CV updates on arXiv.org arxiv.org

Humans exploit prior knowledge to describe images, and are able to adapt
their explanation to specific contextual information, even to the extent of
inventing plausible explanations when contextual information and images do not
match. In this work, we propose the novel task of captioning Wikipedia images
by integrating contextual knowledge. Specifically, we produce models that
jointly reason over Wikipedia articles, Wikimedia images and their associated
descriptions to produce contextualized captions. Particularly, a similar
Wikimedia image can be used to illustrate …

arxiv captioning image wikipedia

More from arxiv.org / cs.CV updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Research Engineer - VFX, Neural Compositing

@ Flawless | Los Angeles, California, United States

[Job-TB] Senior Data Engineer

@ CI&T | Brazil

Data Analytics Engineer

@ The Fork | Paris, France