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Comparing deep neural networks against humans: object recognition when
  the signal gets weaker

Comparing deep neural networks against humans: object recognition when the signal gets weaker

21 June 2017
Robert Geirhos
David H. J. Janssen
Heiko H. Schutt
Jonas Rauber
Matthias Bethge
Felix Wichmann
ArXivPDFHTML

Papers citing "Comparing deep neural networks against humans: object recognition when the signal gets weaker"

13 / 13 papers shown
Title
Bayesian Comparisons Between Representations
Bayesian Comparisons Between Representations
Heiko H. Schütt
FAtt
405
0
0
13 Nov 2024
Generalisation in humans and deep neural networks
Generalisation in humans and deep neural networks
Robert Geirhos
Carlos R. Medina Temme
Jonas Rauber
Heiko H. Schutt
Matthias Bethge
Felix Wichmann
OOD
86
605
0
27 Aug 2018
A Study and Comparison of Human and Deep Learning Recognition
  Performance Under Visual Distortions
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
Samuel F. Dodge
Lina Karam
3DH
43
421
0
06 May 2017
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
51
176
0
17 Aug 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
168
18,534
0
06 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
299
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
923
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
scikit-image: Image processing in Python
scikit-image: Image processing in Python
Stéfan van der Walt
Johannes L. Schonberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
SSeg
GP
VLM
113
4,351
0
23 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
188
14,703
0
20 Jun 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for
  Core Visual Object Recognition
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
C. Cadieu
Ha Hong
Daniel L. K. Yamins
Nicolas Pinto
Diego Ardila
E. Solomon
N. Majaj
J. DiCarlo
57
784
0
12 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
244
43,290
0
01 May 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
166
14,831
1
21 Dec 2013
1