Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition-Reference-Cited by-同舟云学术

Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition

Published:2006 Issue: Volume: Page:16-29
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2006
language:
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Author:

Crandall David J.,Huttenlocher Daniel P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11744023_2

Reference14 articles.

1. Amit, Y., Trouve, A.: Pop: Patchwork of parts models for object recognition. Technical report, The University of Chicago (April 2005)

2. Crandall, D.J., Felzenszwalb, P.F., Huttenlocher, D.P.: Spatial priors for part-based recognition using statistical models. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 10–17 (2005)

3. Dance, C., Willamowski, J., Fan, L., Bray, C., Csurka, G.: Visual categorization with bags of keypoints. In: European Conference on Computer Vision (2004)

4. Dorko, G., Schmid, C.: Object class recognition using discriminative local features. Technical report, INRIA Grenoble (September 2005)

5. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient matching of pictorial structures. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. II, pp. 66–73 (2000)

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