The Secrets of Salient Object Segmentation

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
Main Authors: Li, Yin, Hou, Xiaodi, Koch, Christof, Rehg, James M., Yuille, Alan L.
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM), arXiv 2015
Subjects:
Fixation Prediction
Machine Learning
Object Recognition
Online Access:http://hdl.handle.net/1721.1/100178

Internet

http://hdl.handle.net/1721.1/100178

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