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Challenging Environments for Traffic Sign Detection: Reliability
  Assessment under Inclement Conditions
v1v2 (latest)

Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions

19 February 2019
Dogancan Temel
Tariq A. Alshawi
Min-Hung Chen
G. Al-Regib
ArXiv (abs)PDFHTMLGithub (52★)

Papers citing "Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions"

20 / 20 papers shown
Title
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into
  Performance Variations and Spectral Characteristics
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
Dogancan Temel
Min-Hung Chen
G. Al-Regib
29
69
0
29 Aug 2019
Distorted Representation Space Characterization Through Backpropagated
  Gradients
Distorted Representation Space Characterization Through Backpropagated Gradients
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
G. Al-Regib
38
19
0
27 Aug 2019
Rolling-Shutter-Aware Differential SfM and Image Rectification
Rolling-Shutter-Aware Differential SfM and Image Rectification
Bingbing Zhuang
L. Cheong
Gim Hee Lee
35
65
0
10 Mar 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel
Jinsol Lee
G. Al-Regib
65
12
0
18 Feb 2019
Semantically Interpretable and Controllable Filter Sets
Semantically Interpretable and Controllable Filter Sets
Mohit Prabhushankar
Gukyeong Kwon
Dogancan Temel
G. Al-Regib
42
4
0
17 Feb 2019
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel
Jinsol Lee
G. Al-Regib
41
43
0
18 Oct 2018
Traffic Signs in the Wild: Highlights from the IEEE Video and Image
  Processing Cup 2017 Student Competition [SP Competitions]
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
Dogancan Temel
G. Al-Regib
50
28
0
15 Oct 2018
MicronNet: A Highly Compact Deep Convolutional Neural Network
  Architecture for Real-time Embedded Traffic Sign Classification
MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification
A. Wong
M. Shafiee
Michael St. Jules
68
59
0
28 Mar 2018
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign
  Recognition
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
Dogancan Temel
Gukyeong Kwon
Mohit Prabhushankar
G. Al-Regib
39
73
0
07 Dec 2017
NO Need to Worry about Adversarial Examples in Object Detection in
  Autonomous Vehicles
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu
Hussein Sibai
Evan Fabry
David A. Forsyth
AAML
86
282
0
12 Jul 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
64
307
0
08 May 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Attention-Based Models for Speech Recognition
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Kyunghyun Cho
Yoshua Bengio
129
2,610
0
24 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
718
37,020
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
528
62,377
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,694
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,902
0
12 Nov 2013
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