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Improving Model Accuracy for Imbalanced Image Classification Tasks by
  Adding a Final Batch Normalization Layer: An Empirical Study

Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study

12 November 2020
Veysel Kocaman
O. M. Shir
Thomas Bäck
ArXivPDFHTML

Papers citing "Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study"

2 / 2 papers shown
Title
The Unreasonable Effectiveness of the Final Batch Normalization Layer
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman
O. M. Shir
T. Baeck
18
1
0
18 Sep 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1