In IEEE CVPR 2004, workshop on generative-model based vision.įei-Fei, L., Fergus, R., & Perona, P. Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. In IEEE international conference on computer vision.įei-Fei, L., Fergus, R., & Perona, P. A bayesian approach to unsupervised one-shot learning of object categories. The PASCAL2006 dataset can be downloaded at. The pascal visual object classes challenge 2006 (voc 2006) results (Technical report). Springer.Įveringham, M., Zisserman, A., Williams, C. The 2005 pascal visual object classes challenge. Accessed January 2004.Įveringham, M., Zisserman, A., Williams, C., Van Gool, L., Allan, M., Bishop, C., Chapelle, O., Dalal, N., Deselaers, T., Dorko, G., Duffner, S., Eichhorn, J., Farquhar, J., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J., Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A., Szedmak, S., Triggs, B., Ulusoy, I., Viitaniemi, V., & Zhang, J. Soil-47, the Surrey object image library.Ĭarmichael, O., & Hebert, M. īurianek, J., Ahmadyfard, A., & Kittler, J. The CBCL-Streetscenes dataset can be downloaded at. Recognition by components: a theory of human image interpretation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11), 1475–1490.īerg, T. Learning to detect objects in images via a sparse, part-based representation. In International conference on computer vision and pattern recognition (CVPR’05), San Diego.Īgarwal, S., Awan, A., & Roth, D. Semi-automatic visual learning (seville): a tutorial on active learning for visual object recognition.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |