Related papers

• [Fei-CVPR04] Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. L. Fei-Fei, R. Fergus, and P. Perona. CVPR 2004, Workshop on Generative-Model Based Vision. 2004 Download PDF
• [Griffin07] Caltech 256 - Object Category Dataset. Greg Griffin, Alex Holub and Pietro Perona. March, 2007. California Institute of Technology Download PDF
• Shape Matching and Object Recognition using Low Distortion Correspondence. Alexander C. Berg, Tamara L. Berg, Jitendra Malik. CVPR 2005 Download PDF

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Evaluation Protocol

• Performance of Caltech 101 in comparison with Caltech 256 View evaluation

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Features and top scores

Method:	[Fei-CVPR04]	[Griffin07]
Score:	80%	67.6%