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Concurrent Misclassification and Out-of-Distribution Detection for
  Semantic Segmentation via Energy-Based Normalizing Flow

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow

16 May 2023
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
ArXivPDFHTML

Papers citing "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"

23 / 23 papers shown
Title
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jing Zhang
Yun Wang
C. Zhao
221
3
0
03 Jan 2025
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
193
47
0
09 Mar 2023
Understanding The Robustness in Vision Transformers
Understanding The Robustness in Vision Transformers
Daquan Zhou
Zhiding Yu
Enze Xie
Chaowei Xiao
Anima Anandkumar
Jiashi Feng
J. Álvarez
ViT
108
191
0
26 Apr 2022
Provable Guarantees for Understanding Out-of-distribution Detection
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
91
92
0
01 Dec 2021
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
236
287
0
28 Sep 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
116
94
0
23 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
263
5,017
0
31 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
69
136
0
30 Apr 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
41
155
0
09 Mar 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
309
702
0
19 Oct 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,354
0
08 Oct 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo Kamoi
Kei Kobayashi
OODD
152
58
0
01 Mar 2020
Deep Active Learning for Biased Datasets via Fisher Kernel
  Self-Supervision
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Denis A. Gudovskiy
Alec Hodgkinson
Takuya Yamaguchi
Sotaro Tsukizawa
FedML
41
59
0
01 Mar 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
78
542
0
06 Dec 2019
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
162
479
0
25 Nov 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of
  Domain Shift
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
70
81
0
03 Aug 2019
Guided Image Generation with Conditional Invertible Neural Networks
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone
Carsten T. Lüth
Jakob Kruse
Carsten Rother
Ullrich Kothe
DRL
83
294
0
04 Jul 2019
Do Deep Generative Models Know What They Don't Know?
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
63
757
0
22 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
287
3,128
0
09 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,121
0
07 Feb 2018
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
204
1,351
0
19 May 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
263
78
0
26 May 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
11,606
0
06 Apr 2016
1