Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on a variety of pattern-recognition tasks, most notably visual classification problems. Given that DNNs are now able to classify objects in images with near-human-level performance, questions naturally arise as to...

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Veröffentlicht in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 427 - 436
Hauptverfasser:	Anh Nguyen, Yosinski, Jason, Clune, Jeff
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Biomedical imaging Classification Computer vision Confidence Human Keyboards Labels Neural networks State of the art Volcanoes
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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