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This is not what I imagined: Error Detection for Semantic Segmentation
  through Visual Dissimilarity

This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity

2 September 2019
David Haldimann
Hermann Blum
Roland Siegwart
Cesar Cadena
    UQCV
ArXivPDFHTML

Papers citing "This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity"

19 / 19 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
48
30,021
0
01 Mar 2022
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
23
319
0
06 Jul 2018
Bayesian Semantic Instance Segmentation in Open Set World
Bayesian Semantic Instance Segmentation in Open Set World
Trung T. Pham
G. VijayKumarB.
Thanh-Toan Do
G. Carneiro
Ian Reid
VLM
ISeg
BDL
24
35
0
04 Jun 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
46
13,005
0
07 Feb 2018
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
81
880
0
26 Nov 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
40
947
0
28 Jul 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
54
2,219
0
17 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
242
19,560
0
21 Nov 2016
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
80
3,420
0
07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
108
18,136
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
183
37,704
0
20 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
295
11,540
0
06 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
147
10,202
0
27 Mar 2016
Metric Learning with Adaptive Density Discrimination
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
18
215
0
18 Nov 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
28
1,062
0
09 Nov 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
43
1,434
0
14 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
104
149,474
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
369
99,991
0
04 Sep 2014
Learning Fine-grained Image Similarity with Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang
Yang Song
Thomas Leung
C. Rosenberg
Jingbin Wang
James Philbin
Bo Chen
Ying Nian Wu
SSL
49
1,315
0
17 Apr 2014
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