Conference item : Conference-proceeding
Straight to Shapes: Real-time Detection of Encoded Shapes
- Abstract:
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Current object detection approaches predict bounding boxes that provide little instance-specific information beyond location, scale and aspect ratio. In this work, we propose to regress directly to objects’ shapes in addition to their bounding boxes and categories. It is crucial to find an appropriate shape representation that is compact and decodable, and in which objects can be compared for higher order concepts such as view similarity, pose variation and occlusion. To achieve this, we use ...
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(Accepted manuscript, pdf, 5.1MB)
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- Publisher copy:
- 10.1109/CVPR.2017.448
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Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Grant:
Seebibyte EP/M013774/1, EPSRC/MURI EP/N019474/1
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- CVPR 2017: IEEE Conference on Computer Vision and Pattern Recognition Journal website
- Host title:
- CVPR 2017: IEEE Conference on Computer Vision and Pattern Recognition
- Publication date:
- 2017-11-09
- Acceptance date:
- 2017-03-18
- DOI:
- Source identifiers:
-
689003
- ISBN:
- 9781538604571
Item Description
- Subtype:
- conference-proceeding
- Pubs id:
-
pubs:689003
- UUID:
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uuid:1e312239-8533-4670-a2f6-ca1b4b1082f6
- Local pid:
- pubs:689003
- Deposit date:
- 2017-04-11
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2017
- Notes:
- © 2017 IEEE. This article was presentated at CVPR 2017: IEEE Conference on Computer Vision and Pattern Recognition (21-26 July 2017: Honolulu, HI, USA) [http://cvpr2017.thecvf.com/].
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