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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"

3 / 3 papers shown
Title
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing
  Behavior
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
Chenchao Zhou
Ghassan AlRegib
Armin Parchami
Kunjan Singh
37
2
0
14 Jan 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for
  Out-of-Distribution Data
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
OODD
OOD
13
9
0
12 Jan 2023
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
216
2,056
0
07 Jun 2016
1