Quality Control in Crowdsourced Object Segmentation

Ferran Cabezas
Ferran Cabezas
Xavier Giró-i-Nieto
Xavier Giró-i-Nieto
Cited by: 0|Views10

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 perform several experiments towards improving the segmentation results. First, we introduce different superpixel-based techniques to fi...More

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