Web: http://arxiv.org/abs/2208.12644

Sept. 19, 2022, 1:12 a.m. | Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar

cs.LG updates on arXiv.org arxiv.org

It is a common practice to think of a video as a sequence of images (frames),
and re-use deep neural network models that are trained only on images for
similar analytics tasks on videos. In this paper, we show that this leap of
faith that deep learning models that work well on images will also work well on
videos is actually flawed. We show that even when a video camera is viewing a
scene that is not changing in any …

accuracy analytics arxiv video

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

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

BI Data Analyst

@ EquipmentShare | Remote: Kansas City; Denver; Columbia MO

2023 Data Science Intern

@ Dialexa | Dallas, Texas, United States

Senior Data Engineer - Gdańsk (Remote)

@ Craft | Gdańsk, Pomeranian Voivodeship, Poland

Scientist / Sr. Scientist, Machine Learning & Computational Biology (Genomics)

@ 23andMe | Chicago, Illinois