Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


Ran Tao, Arnold WM Smeulders, Shih-Fu Chang. Attributes and Categories for Generic Instance Search from One Example. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Pages 177-186, 2015.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


This paper aims for generic instance search from one example where the instance can be an arbitrary 3D object like shoes, not just near-planar and one-sided instances like buildings and logos. Firstly, we evaluate state-of-the-art instance search methods on this problem. We observe that what works for buildings loses its generality on shoes. Secondly, we propose to use automatically learned categoryspecific attributes to address the large appearance variations present in generic instance search. On the problem of searching among instances from the same category as the query, the category-specific attributes outperform existing approaches by a large margin. On a shoe dataset containing 6624 shoe images recorded from all viewing angles, we improve the performance from 36.73 to 56.56 using category-specific attributes. Thirdly, we extend our methods to search objects without restricting to the specifically known category. We show the combination of category-level information and the category-specific attributes is superior to combining category-level information with low-level features such as Fisher vector


Shih-Fu Chang

BibTex Reference

   Author = {Tao, Ran and Smeulders, Arnold WM and Chang, Shih-Fu},
   Title = {Attributes and Categories for Generic Instance Search from One Example},
   BookTitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
   Pages = {177--186},
   Year = {2015}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).