Hybrid Open-set Segmentation with Synthetic Negative Data

19 January 2023

Papers citing "Hybrid Open-set Segmentation with Synthetic Negative Data"

9 / 9 papers shown

Title
A Dataset for Semantic Segmentation in the Presence of Unknowns Zakaria Laskar Tomás Vojír Matej Grcic Iaroslav Melekhov Shankar Gangisettye Juho Kannala Jirí Matas Giorgos Tolias C.V. Jawahar UQCV 41 0 0 28 Mar 2025
FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation Chang Won Lee Selina Leveugle Svetlana Stolpner Chris Langley Paul Grouchy Jonathan Kelly Steven Waslander 70 0 0 29 Nov 2024
Outlier detection by ensembling uncertainty with negative objectness Anja Delić Matej Grcić Sinisa Segvic UQCV 35 15 0 23 Feb 2024
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Christos Sakaridis F. I. F. Richard Yu ISeg 16 23 0 26 May 2023
Real time dense anomaly detection by learning on synthetic negative data Anja Delić Matej Grcić Sinivsa vSegvić 16 0 0 24 May 2023
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? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 133 103 0 14 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016