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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

29 August 2019
Dogancan Temel
Min-Hung Chen
G. Al-Regib
ArXiv (abs)PDFHTMLGithub (52★)

Papers citing "Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics"

18 / 18 papers shown
Title
Hierarchical and Multimodal Data for Daily Activity Understanding
Hierarchical and Multimodal Data for Daily Activity Understanding
Ghazal Kaviani
Yavuz Yarici
Seulgi Kim
Mohit Prabhushankar
Ghassan AlRegib
Mashhour Solh
Ameya Patil
112
1
0
24 Apr 2025
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
Challenging Environments for Traffic Sign Detection: Reliability
  Assessment under Inclement Conditions
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
Dogancan Temel
Tariq A. Alshawi
Min-Hung Chen
G. Al-Regib
30
22
0
19 Feb 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
Feature Selective Small Object Detection via Knowledge-based Recurrent
  Attentive Neural Network
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network
Kai Yi
Zhiqiang Jian
Shi-tao Chen
N. Zheng
ObjD
51
6
0
13 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
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
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,121
0
20 Dec 2014
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
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1