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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
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
222
21,841
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
276
5,683
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
287
9,156
0
06 Jun 2015
1