Popsift-Reference-Cited by-同舟云学术

Popsift

Published:2018-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th ACM Multimedia Systems Conference
language:
Short-container-title:

Author:

Griwodz Carsten¹,Calvet Lilian²,Halvorsen Pål¹

Affiliation:

1. University of Oslo

2. University of Clermont-Auvergne

Funder

H2020 LEIT Information and Communication Technologies

Norges Forskningsråd

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3204949.3208136

Reference13 articles.

1. Relja Arandjelovic and Andrew Zisserman. 2012. Three things everyone should know to improve object retrieval. In CVPR. 2911--2918. Relja Arandjelovic and Andrew Zisserman. 2012. Three things everyone should know to improve object retrieval. In CVPR. 2911--2918.

2. Georges Baatz Kevin Köser David Chen Radek Grzeszczuk and Marc Pollefeys. 2010. Handling Urban Location Recognition as a 2D Homothetic Problem. In ECCV. 266--279. Georges Baatz Kevin Köser David Chen Radek Grzeszczuk and Marc Pollefeys. 2010. Handling Urban Location Recognition as a 2D Homothetic Problem. In ECCV. 266--279.

3. Mårten Björkman. 2014. Celebrandil/CudaSift. (2014). https://github.com/Celebrandil/CudaSift Mårten Björkman. 2014. Celebrandil/CudaSift. (2014). https://github.com/Celebrandil/CudaSift

4. Detecting, segmenting and tracking unknown objects using multi-label MRF inference

5. Kai Cordes Bodo Rosenhahn and Jörn Ostermann. 2013. High-Resolution Feature Evaluation Benchmark. Springer 327--334. 10.1007/978-3-642-40261-6_39 Kai Cordes Bodo Rosenhahn and Jörn Ostermann. 2013. High-Resolution Feature Evaluation Benchmark. Springer 327--334. 10.1007/978-3-642-40261-6_39

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