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