The Secrets of Salient Object Segmentation

In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient object benchmarks, called the dataset design bias, by over emphasising the ster...

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Bibliographic Details
Published in:	2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 280 - 287
Main Authors:	Yin Li, Xiaodi Hou, Koch, Christof, Rehg, James M., Yuille, Alan L.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2014
Subjects:	Algorithm design and analysis Algorithms Benchmark testing Benchmarks Bias Computer vision dataset analysis Design engineering eye fixation Fixation Image color analysis Image segmentation Labeling Object segmentation Pattern recognition Prediction algorithms Saliency salient object segmentation Segmentation Statistics
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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