A Metacognitive Approach to Out-of-Distribution Detection for Segmentation

4 October 2023

Papers citing "A Metacognitive Approach to Out-of-Distribution Detection for Segmentation"

5 / 5 papers shown

Title
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries Meghna Gummadi Cassandra Kent Jorge Armando Mendez Mendez Eric Eaton CLL 22 9 0 28 Jun 2022
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
Thinking Fast and Slow in AI: the Role of Metacognition M. B. Ganapini Murray Campbell F. Fabiano L. Horesh J. Lenchner Andrea Loreggia N. Mattei F. Rossi Biplav Srivastava K. Venable LLMAG AI4CE 33 16 0 05 Oct 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,516 0 20 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016