MIML Learning with CNNs: Yelp Restaurant Photo Classification
Stanford University, Stanford, CA
Stanford University Report, 2016
@article{agrawal2016miml,
title={MIML Learning with CNNs: Yelp Restaurant Photo Classification},
author={Agrawal, Pulkit and Stanford, CA and Gupta, Raghav},
year={2016}
}
We present the conditions of a data science challenge from Kaggle, which can be viewed as a multi-instance multilabel learning problem in the image domain, and describe the official training dataset provided. We discuss our technical approach, and address the challenges in using transfer learning and with finetuning, trying out different strategies to tackle the multi-instance aspect of the problem. Lastly, we present our results, and analyze in depth the quantitative and qualitative performance of our models.
April 19, 2016 by hgpu
