A Bayesian Approach to A Bayesian Approach to Unsupervised One- - - PDF document

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A Bayesian Approach to A Bayesian Approach to Unsupervised One Unsupervised One-

• Shot

Shot Learning of Object Learning of Object Categories Categories

Li Li Fei Fei-

• Fei

Fei Rob Rob Fegus Fegus Pietro Pietro Perona Perona Presenter: Presenter: Tuyen Tuyen Huynh Huynh – – Duy Duy Vu Vu

Slides from Li Fei-Fei http://www.vision.caltech.edu/feifeili/Fei-Fei_KUL2003.pdf

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Summary Summary

Learning categories with one example is possible Can reduce # of training example from ~300 to

1~5 using prior from other categories

References References

• L.
• L. Fei

Fei-

• Fei

Fei, R. Fergus, and P. , R. Fergus, and P. Perona

• Perona. A Bayesian approach to unsupervised

. A Bayesian approach to unsupervised One One-

• Shot learning of Object categories.

Shot learning of Object categories. IEEE Inter. Conf. Computer Vision IEEE Inter. Conf. Computer Vision. . 2003 2003

• L.
• L. Fei

Fei-

• Fei

Fei, R. Fergus and P. , R. Fergus and P. Perona

• Perona. One

. One-

• Shot learning of object categories.

Shot learning of object categories. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol28(4), IEEE Trans. Pattern Analysis and Machine Intelligence, Vol28(4), 594 594 -

• 611, 2006

611, 2006

• Video of

Video of Fei Fei-

• Fei

Fei’ ’s s talk at ICCV 2003: talk at ICCV 2003:

http://www.robots.ox.ac.uk/~awf/iccv03videos/ICCV03 http://www.robots.ox.ac.uk/~awf/iccv03videos/ICCV03-

• S11

S11-

• P2

P2-

• DIVX

DIVX-

• MP3.avi

MP3.avi

• Variational

Variational Bayes Bayes: : http://www.variational

http://www.variational-

• bayes.org

bayes.org/ /