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Viewpoint Estimation-Insights & Model
July 03, 2018 Β· Declared Dead Β· π European Conference on Computer Vision
"No code URL or promise found in abstract"
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Authors
Gilad Divon, Ayellet Tal
arXiv ID
1807.01312
Category
cs.CV: Computer Vision
Citations
13
Venue
European Conference on Computer Vision
Last Checked
3 months ago
Abstract
This paper addresses the problem of viewpoint estimation of an object in a given image. It presents five key insights that should be taken into consideration when designing a CNN that solves the problem. Based on these insights, the paper proposes a network in which (i) The architecture jointly solves detection, classification, and viewpoint estimation. (ii) New types of data are added and trained on. (iii) A novel loss function, which takes into account both the geometry of the problem and the new types of data, is propose. Our network improves the state-of-the-art results for this problem by 9.8%.
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