Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet. Anonymous , 2018.
abstract   bibtex   
Deep Neural Networks (DNNs) excel on many complex perceptual tasks but it has proven notoriously difficult to understand how they reach their decisions. We here introduce a high-performance DNN.
@Article{Anonymous2018c,
author = {Anonymous}, 
title = {Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet}, 
journal = {}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2018}, 
abstract = {Deep Neural Networks (DNNs) excel on many complex perceptual tasks but it has proven notoriously difficult to understand how they reach their decisions. We here introduce a high-performance DNN.}, 
location = {}, 
keywords = {}}

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