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Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation

19 August 2023
Dan Zhang
K. Sakmann
William H. Beluch
Robin Hutmacher
Yumeng Li
ArXiv (abs)PDFHTML

Papers citing "Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation"

23 / 23 papers shown
Title
UGainS: Uncertainty Guided Anomaly Instance Segmentation
UGainS: Uncertainty Guided Anomaly Instance Segmentation
Alexey Nekrasov
Alexander Hermans
L. Kuhnert
Bastian Leibe
68
11
0
03 Aug 2023
Unmasking Anomalies in Road-Scene Segmentation
Unmasking Anomalies in Road-Scene Segmentation
Shyam Nandan Rai
Fabio Cermelli
Dario Fontanel
Carlo Masone
Barbara Caputo
ISeg
50
41
0
25 Jul 2023
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain
  Generalization
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Yumeng Li
Dan Zhang
Margret Keuper
Anna Khoreva
92
11
0
02 Jul 2023
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
On Advantages of Mask-level Recognition for Outlier-aware Segmentation
Matej Grcić
Josip vSarić
Sinivsa vSegvić
UQCV
137
34
0
09 Jan 2023
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection
  in Semantic Segmentation
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Yuyuan Liu
Choubo Ding
Yu Tian
Guansong Pang
Vasileios Belagiannis
Ian Reid
G. Carneiro
OODD
65
40
0
26 Nov 2022
Intra-Source Style Augmentation for Improved Domain Generalization
Intra-Source Style Augmentation for Improved Domain Generalization
Yumeng Li
Dan Zhang
Margret Keuper
Anna Khoreva
70
33
0
18 Oct 2022
Masked-attention Mask Transformer for Universal Image Segmentation
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng
Ishan Misra
Alex Schwing
Alexander Kirillov
Rohit Girdhar
ISeg
248
2,364
0
02 Dec 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying
  Unexpected Road Obstacles in Urban-Scene Segmentation
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung
Jungsoo Lee
Daehoon Gwak
Sungha Choi
Jaegul Choo
118
96
0
23 Jul 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation
  via Instance Selective Whitening
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Sungha Choi
Sanghun Jung
Huiwon Yun
J. Kim
Seungryong Kim
Jaegul Choo
110
287
0
29 Mar 2021
StyleLess layer: Improving robustness for real-world driving
StyleLess layer: Improving robustness for real-world driving
Julien Rebut
Andrei Bursuc
P. Pérez
104
5
0
25 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
Pixel-wise Anomaly Detection in Complex Driving Scenes
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
UQCV
53
156
0
09 Mar 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
296
991
0
13 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution
  Detection in Semantic Segmentation
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
110
152
0
09 Dec 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,356
0
08 Oct 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
D. Song
OODD
176
481
0
25 Nov 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
619
4,780
0
13 May 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
55
159
0
05 Apr 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,478
0
11 Dec 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,764
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
114
3,765
0
15 Aug 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
230
8,473
0
17 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
158
3,454
0
07 Oct 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
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