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2206.04874
Cited By
The 1st Data Science for Pavements Challenge
10 June 2022
Ashkan Behzadian
Tanner Muturi
Tianjie Zhang
Hongseok Kim
A. Mullins
Yang Lu
Neema Jasika Owor
Y. Adu-Gyamfi
W. Buttlar
Majid M. Hamed
Armstrong Aboah
D. Mensching
Spragg Robert
M. Corrigan
Jack Youtchef
Dave Eshan
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Papers citing
"The 1st Data Science for Pavements Challenge"
7 / 7 papers shown
Title
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch
Emily L. Denton
A. Hanna
J. Foster
100
150
0
03 Dec 2021
Dive into Deep Learning
Aston Zhang
Zachary Chase Lipton
Mu Li
Alexander J. Smola
VLM
79
570
0
21 Jun 2021
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Sadra Naddaf-sh
M.-Mahdi Naddaf-Sh
Amir R. Kashani
H. Zargarzadeh
42
58
0
18 Nov 2020
Global Road Damage Detection: State-of-the-art Solutions
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
Hiroshi Omata
Takehiro Kashiyama
Yoshihide Sekimoto Indian Institute of Technology Roorkee
55
104
0
17 Nov 2020
Road Damage Detection using Deep Ensemble Learning
Keval Doshi
Yasin Yılmaz
41
54
0
30 Oct 2020
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
H. Majidifard
Y. Adu-Gyamfi
W. Buttlar
31
197
0
28 Apr 2020
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
H. Majidifard
Peng Jin
Y. Adu-Gyamfi
W. Buttlar
59
134
0
20 Oct 2019
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