BING: Binarized normed gradients for objectness estimation at 300fps

BING: Binarized normed gradients for objectness estimation at 300fps

Abstract Training a generic objectness measure to produce object proposals has recently become of significant interest. We observe that generic objects with well-defined closed boundaries can be detected by looking at the norm of gradients, with a suitable resizing of their corresponding image windo...

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Bibliographic Details
Main Authors: Ming-Ming Cheng, Yun Liu, Wen-Yan Lin, Ziming Zhang, Paul L. Rosin, Philip H. S. Torr
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Computational Visual Media
Subjects:
object proposals
objectness
visual attention
category agnostic proposals
Online Access:http://link.springer.com/article/10.1007/s41095-018-0120-1

Internet

http://link.springer.com/article/10.1007/s41095-018-0120-1

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