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...

Full description

Bibliographic Details

Published in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 427 - 436
Main Authors:	Anh Nguyen, Yosinski, Jason, Clune, Jeff
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	Biomedical imaging Classification Computer vision Confidence Human Keyboards Labels Neural networks State of the art Volcanoes
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!