Conference item
Deep filter banks for texture recognition, description, and segmentation
- Abstract:
-
Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner have had a tremendous impact in diverse applications. In this paper we make several contributions to texture understanding. First, instead of focusing on texture instance and material category recognition, we propose a human-interpretable vocabulary of texture attributes to describe common ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
228180/European Research Council
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638009/European Research Council
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Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- International Journal of Computer Vision
- Journal:
- International Journal of Computer Vision Journal website
- Volume:
- 118
- Issue:
- 1
- Pages:
- 65-94
- Publication date:
- 2016-01-09
- Event location:
- United States
- DOI:
- EISSN:
-
1573-1405
- ISSN:
-
0920-5691
- Pmid:
-
27471340
Item Description
- Keywords:
- Pubs id:
-
pubs:581639
- UUID:
-
uuid:8b19a08b-47ca-4e25-8671-8868f091b219
- Local pid:
- pubs:581639
- Source identifiers:
-
581639
- Deposit date:
- 2017-02-09
Terms of use
- Copyright holder:
- Cimpoi et al
- Copyright date:
- 2016
- Notes:
- © The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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