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On the Structures of Representation for the Robustness of Semantic
  Segmentation to Input Corruption

On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption

2 September 2020
Charles Lehman
Dogancan Temel
Ghassan AlRegib
ArXivPDFHTML

Papers citing "On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption"

5 / 5 papers shown
Title
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
177
1,476
0
11 Dec 2018
Automated Evaluation of Semantic Segmentation Robustness for Autonomous
  Driving
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
W. Zhou
J. S. Berrio
Stewart Worrall
E. Nebot
140
72
0
24 Oct 2018
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
243
8,548
0
16 Aug 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
312
2,077
0
07 Jun 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
11,587
0
06 Apr 2016
1