Branch&Rank for Efficient Object Detection-Reference-Cited by-同舟云学术

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Branch&Rank for Efficient Object Detection

Published:2013-12-24 Issue:3 Volume:106 Page:252-268
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Lehmann Alain D.,Gehler Peter V.,Gool Luc Van

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s11263-013-0670-8.pdf

Reference55 articles.

1. Alexe, B., Deselaers, T., & Ferrari, V. (2010). What is an object?. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

2. Bileschi, S., & Wolf, L. (2005). A unified system for object detection, texture recognition and context analysis based on the standard model feature set. In Proceedings of the British Machine Vision Conference.

3. Blaschko, M. B. (2011). Branch and bound strategies for non-maximal suppression in object detection. In Energy Minimazation Methods in Computer Vision and Pattern Recognition.

4. Blaschko, M. B., & Lampert, C. H. (2008). Learning to localize objects with structured output regression. In European Conference on Computer Vision.

5. Blaschko, M. B., & Lampert, C. H. (2009). Object localization with global and local context kernels. In Proceedings of the British Machine Vision Conference.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning Sampling Distributions for Efficient Object Detection;IEEE Transactions on Cybernetics;2017-01

2. Objects, Actions, Places;International Journal of Computer Vision;2014-01-23

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