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The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

5 April 2019
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
    UQCV
ArXivPDFHTML

Papers citing "The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation"

11 / 61 papers shown
Title
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
103
3,420
0
07 Oct 2016
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Peter Pinggera
Sebastian Ramos
S. Gehrig
Uwe Franke
Carsten Rother
Rudolf Mester
UQCV
32
189
0
15 Sep 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
187
18,136
0
02 Jun 2016
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
185
3,681
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
689
11,540
0
06 Apr 2016
Efficient and robust approximate nearest neighbor search using
  Hierarchical Navigable Small World graphs
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Yury Malkov
Dmitry A. Yashunin
AI4TS
80
1,441
0
30 Mar 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
778
15,718
0
02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
476
9,233
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
176
18,922
0
20 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
93
2,251
0
30 Oct 2014
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