PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
PROCEEDINGS OF THE 2016 ITE WINTER ANNUAL CONVENTION
Conference information

A Discussion of Novelty Detection in Image Recognition
*Michihiro MIZUNOAkito TAKEKIShota HORIGUCHIToshihiko YAMASAKIKiyoharu AIZAWA
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CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 15C-6-

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Abstract

We present a new method of novelty detection in image recognition based on convolutional neural network (CNN). We use Sigmoid Layer as the last layer of a CNN instead of Softmax Layer. As a result, we discovered that a CNN with Sigmoid Layer can detect novelties in an easy dataset better than that with Softmax Layer, but worse in a difficult dataset.

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© 2016 The Institute of Image Information and Television Engineers
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