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Quality Control in Crowdsourced Object Segmentation
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 15073 The contribution was presented at : ABSTRACT This paper explores processing techniques to deal with noisy data in crowdsourced object segmentation tasks. We use the data collected with Click'n'Cut, an online interactive segmentation tool, and we performfatcat:busbu6g5ovethp4ffwrlndnsf4