Test:No pubyear UsingConvolutionalNeuralN

• (Singh & Garzon, No_pubyear) ⇒ Diveesh Singh, and Pedro Garzon. (No_pubyear"No_pubyear" contains an extrinsic dash or other characters that are invalid for a date interpretation.). “Using Convolutional Neural Networks and Transfer Learning to Perform Yelp Restaurant Photo Classification.”

Subject Headings: Convolution Neural Network; Yelp Image Classification Kaggle Challenge; Vggnet; Multiple Instance Learning (Mil) Model; Transfer Learning System; Imagenet Dataset

Cited By

• http://scholar.google.com/scholar?q=%22No_pubyear%22+Using+Convolutional+Neural+Networks+and+Transfer+Learning+to+Perform+Yelp+Restaurant+Photo+Classification

Quotes

Abstract

For the Yelp Image Classification Kaggle Challenge, we use a modified VGGNet to make predictions on 9 specific attributes of restaurants based on images by performing transfer learning. We explore two approaches to making these predictions: a naive model that assigns the attributes of the restaurant to each picture, and a more sophisticated method called multiple instance learning. With our naive model, we achieved a mean F1 score of 0.533, while our MIL model achieved a mean F1 score of 0.618. We then explore and evaluate other past methods attempted for this challenge and note various methods of improvement on our current models.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
No pubyear UsingConvolutionalNeuralN	Diveesh Singh Pedro Garzon			Using Convolutional Neural Networks and Transfer Learning to Perform Yelp Restaurant Photo Classification