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PixOOD: Pixel-Level Out-of-Distribution Detection

PixOOD: Pixel-Level Out-of-Distribution Detection

30 May 2024
Tomávs Vojívr
Jan Sochman
Jivrí Matas
    OODD
ArXivPDFHTML

Papers citing "PixOOD: Pixel-Level Out-of-Distribution Detection"

9 / 9 papers shown
Title
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
A Dataset for Semantic Segmentation in the Presence of Unknowns
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
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
78
2
0
04 Mar 2025
Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark
Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark
Lukás Picek
Vojtěch Čermák
Marek Hanzl
21
0
0
31 Dec 2024
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
73
1
0
22 Dec 2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu
Eduardo Valle
Andrei Bursuc
Tommie Kerssies
Daan de Geus
...
Michael J. Smith
F. Ferrie
Shamik Basu
Christos Sakaridis
Luc Van Gool
UQCV
VLM
20
3
0
23 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
25
0
0
10 Sep 2024
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals
L. Adam
Vojtěch Čermák
Kostas Papafitsoros
Lukás Picek
31
2
0
13 Jun 2024
A Discrepancy Aware Framework for Robust Anomaly Detection
A Discrepancy Aware Framework for Robust Anomaly Detection
Yuxuan Cai
Dingkang Liang
Dongliang Luo
Xinwei He
Xin Yang
Xiang Bai
AAML
UQCV
110
16
0
11 Oct 2023
1