ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.15260
  4. Cited By
Hyperbolic Metric Learning for Visual Outlier Detection

Hyperbolic Metric Learning for Visual Outlier Detection

22 March 2024
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
M. Pouly
A. Navarini
ArXivPDFHTML

Papers citing "Hyperbolic Metric Learning for Visual Outlier Detection"

5 / 5 papers shown
Title
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
220
0
02 Feb 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
155
401
0
12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
171
324
0
01 Oct 2021
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
268
5,635
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
247
9,042
0
06 Jun 2015
1