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Wasserstein Distance-based Expansion of Low-Density Latent Regions for
  Unknown Class Detection

Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection

10 January 2024
Prakash Mallick
Feras Dayoub
Jamie Sherrah
ArXivPDFHTML

Papers citing "Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection"

3 / 3 papers shown
Title
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
168
21,804
0
09 Dec 2016
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
270
5,660
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
261
9,136
0
06 Jun 2015
1