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1909.00676
Cited By
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
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Papers citing
"This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity"
19 / 19 papers shown
Title
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
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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
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
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
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
81
880
0
26 Nov 2017
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
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
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
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
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
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
183
37,704
0
20 May 2016
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
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
147
10,202
0
27 Mar 2016
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
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
UQCV
BDL
28
1,062
0
09 Nov 2015
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
Diederik P. Kingma
Jimmy Ba
ODL
104
149,474
0
22 Dec 2014
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
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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