How is scene recognition in a convolutional network related to that in the human visual system?

Artificial Neural Networks and Machine Learning -- ICANN 2016, 2016

Sugandha Sharma, Bryan Tripp

Abstract

This study is an analysis of scene recognition in a pre-trained convolutional network, to evaluate the information the network uses to distinguish scene categories. We are particularly interested in how the network is related to various areas in the human brain that are involved in different modes of scene recognition. Results of several experiments suggest that the convolutional network relies heavily on objects and fine features, similar to the lateral occipital complex (LOC) in the brain, but less on large-scale scene layout. This suggests that future sceneprocessing convolutional networks might be made more brain-like by adding parallel components that are more sensitive to arrangement of simple forms.

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Publisher
Springer International Publishing
Doi
10.1007/978-3-319-44778-0_33
Isbn
978-3-319-44778-0
Booktitle
Artificial Neural Networks and Machine Learning -- ICANN 2016
Volume
9886
Pages
280--287

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