Learning visual object detection and localisation using icVision

Author:

Leitner Jürgen,Harding Simon,Chandrashekhariah Pramod,Frank Mikhail,Förster Alexander,Triesch Jochen,Schmidhuber Jürgen

Funder

European Community’s Seventh Framework Programme FP7/2007–2013

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology

Reference42 articles.

1. Agarwal, S., & Roth, D. (2002). Learning a sparse representation for object detection. In ECCV (pp. 113–130).

2. Bay, H., Tuytelaars, T., & Van Gool, L. (2006). Surf: Speeded up robust features. In Computer vision – ECCV 2006 (Vol. 3951, pp. 404-417).

3. Bianchini, M., Maggini, M., Sarti, L., & Scarselli, F. (2004). Recursive neural networks for object detection. In IEEE international joint conference on neural networks (Vol. 3) (ISSN 1098-7576, 1911–1915, doi: 10.1109/IJCNN.2004.1380903).

4. Bradski, G. (2000). The OpenCV library. Dr. Dobb’s Journal of Software Tools.

5. Chandrashekhariah, P., Spina, G., & Triesch, J. (2013). Let it learn: a curious vision system for autonomous object learning. In VISAPP-International conference on computer vision theory and applications (pp. 21–27), Spain: Barcelona.

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