Menu

Transfer Learning by Ranking for Weakly Supervised Object Annotation

Published on 2012-10-093722 Views
video thumbnail
Pause
Mute
Subtitles
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Most existing approaches to training object detectors rely on fully supervised learning, which requires the tedious manual annotation of object location in a training set. Recently there has been an

RELATED CATEGORIES

MORE VIDEOS FROM THE EVENT

MORE VIDEOS FROM THE SAME CATEGORIES

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.