Edinburgh Research Explorer

We don't need no bounding-boxes: Training object class detectors using only human verification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationComputer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages954-963
Number of pages10
ISBN (Electronic)978-1-4673-8851-1
ISBN (Print)978-1-4673-8852-8
DOIs
Publication statusPublished - 12 Dec 2016
Event29th IEEE Conference on Computer Vision and Pattern Recognition - Las Vegas, United States
Duration: 26 Jun 20161 Jul 2016
http://cvpr2016.thecvf.com/

Conference

Conference29th IEEE Conference on Computer Vision and Pattern Recognition
Abbreviated titleCVPR 2016
CountryUnited States
CityLas Vegas
Period26/06/161/07/16
Internet address

Abstract

Training object class detectors typically requires a large set of images in which objects are annotated by bounding-boxes. However, manually drawing bounding-boxes is very time consuming. We propose a new scheme for training object detectors which only requires annotators to verify bounding-boxes produced automatically by the learning algorithm. Our scheme iterates between re-training the detector, re-localizing objects in the training images, and human verification. We use the verification signal both to improve re-training and to reduce the search space for re-localisation, which makes these steps different to what is normally done in a weakly supervised setting. Extensive experiments on PASCAL VOC 2007 show that (1) using human verification to update detectors and reduce the search space leads to the rapid production of high-quality bounding-box annotations; (2) our scheme delivers detectors performing almost as good as those trained in a fully supervised setting, without ever drawing any bounding-box; (3) as the verification task is very quick, our scheme substantially reduces total annotation time by a factor 6x-9x.

Event

29th IEEE Conference on Computer Vision and Pattern Recognition

26/06/161/07/16

Las Vegas, United States

Event: Conference

Download statistics

No data available

ID: 24984955