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An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability

An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability

26 May 2015
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
ArXivPDFHTML

Papers citing "An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability"

5 / 5 papers shown
Title
Investigating Weight-Perturbed Deep Neural Networks With Application in
  Iris Presentation Attack Detection
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection
Renu Sharma
Redwan Sony
Arun Ross
AAML
18
3
0
21 Nov 2023
With Friends Like These, Who Needs Adversaries?
With Friends Like These, Who Needs Adversaries?
Saumya Jetley
Nicholas A. Lord
Philip Torr
AAML
18
70
0
11 Jul 2018
Empirically Analyzing the Effect of Dataset Biases on Deep Face
  Recognition Systems
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski
Bernhard Egger
Andreas C. Schneider
Thomas Gerig
Andreas Morel-Forster
T. Vetter
CVBM
25
71
0
05 Dec 2017
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
17
39
0
21 Oct 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
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