ImageNet Auto-Annotation with Segmentation Propagation-Reference-Cited by-同舟云学术

ImageNet Auto-Annotation with Segmentation Propagation

Published:2014-04-07 Issue:3 Volume:110 Page:328-348
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Guillaumin Matthieu,Küttel Daniel,Ferrari Vittorio

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/s11263-014-0713-9.pdf

Reference72 articles.

1. The PASCAL Visual Object Classes. http://pascallin.ecs.soton.ac.uk/challenges/VOC/

2. Alexe, B., Deselaers, T., & Ferrari, V. (2010). ClassCut for unsupervised class segmentation. In: Proceedings of the European Conference on Computer Vision.

3. Alexe, B., Deselaers, T., & Ferrari, V. (2010). What is an object? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

4. Arora, H., Loeff, N., Forsyth, D., & Ahuja, N. (2007). Unsupervised segmentation of objects using efficient learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis.

5. Aytar, Y., & Zisserman, A. (2011). Tabula rasa: Model transfer for object category detection. In: Proceedings of the International Conference on Computer Vision.

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