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When saliency goes off on a tangent: Interpreting Deep Neural Networks
  with nonlinear saliency maps

When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps

13 October 2021
Jan Rosenzweig
Zoran Cvetkovic
I. Rosenzweig
    FAtt
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Papers citing "When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps"

1 / 1 papers shown
Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
924
18,450
0
17 Apr 2017
1