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What’s the Point: Semantic Segmentation with Point Supervision

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http://link.springer.com/chapter/10.1007/978-3-319-46478-7_34
Original languageEnglish
Title of host publicationComputer Vision – ECCV 2016
Subtitle of host publication14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII
PublisherSpringer International Publishing
Pages549-565
Number of pages16
ISBN (Electronic)978-3-319-46478-7
ISBN (Print)978-3-319-46477-0
DOIs
Publication statusPublished - 16 Sep 2016
Event14th European Conference on Computer Vision 2016 - Amsterdam, Netherlands
Duration: 8 Oct 201616 Oct 2016
http://www.eccv2016.org/

Publication series

NameLecture Notes in Computer Science (LNCS)
Publisher Springer International Publishing
Volume9911
ISSN (Print)0302-9743

Conference

Conference14th European Conference on Computer Vision 2016
Abbreviated titleECCV 2016
CountryNetherlands
CityAmsterdam
Period8/10/1616/10/16
Internet address

Abstract

The semantic image segmentation task presents a trade-off between test time accuracy and training time annotation cost. Detailed per-pixel annotations enable training accurate models but are very time-consuming to obtain; image-level class labels are an order of magnitude cheaper but result in less accurate models. We take a natural step from image-level annotation towards stronger supervision: we ask annotators to point to an object if one exists. We incorporate this point supervision along with a novel objectness potential in the training loss function of a CNN model. Experimental results on the PASCAL VOC 2012 benchmark reveal that the combined effect of point-level supervision and objectness potential yields an improvement of 12.9%12.9% mIOU over image-level supervision. Further, we demonstrate that models trained with point-level supervision are more accurate than models trained with image-level, squiggle-level or full supervision given a fixed annotation budget.

Event

14th European Conference on Computer Vision 2016

8/10/1616/10/16

Amsterdam, Netherlands

Event: Conference

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