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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"

3 / 3 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
16
3
0
21 Nov 2023
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
15
39
0
21 Oct 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
1