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A Unified Benchmark for the Unknown Detection Capability of Deep Neural
  Networks

A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks

1 December 2021
Jihyo Kim
Jiin Koo
Sangheum Hwang
    UQCV
ArXivPDFHTML

Papers citing "A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks"

5 / 5 papers shown
Title
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set
  Recognition
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun Cen
Di Luan
Shiwei Zhang
Yixuan Pei
Yingya Zhang
Deli Zhao
Shaojie Shen
Qifeng Chen
11
19
0
08 Feb 2023
Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data
Guoxuan Xia
C. Bouganis
OODD
16
27
0
15 Jul 2022
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
155
216
0
19 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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
285
9,145
0
06 Jun 2015
1