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Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

7 March 2022
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
ArXivPDFHTML

Papers citing "Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review"

10 / 10 papers shown
Title
Network-level Safety Metrics for Overall Traffic Safety Assessment: A
  Case Study
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
Xiwen Chen
Hongya Wang
Abolfazl Razi
Brendan J. Russo
Jason L. Pacheco
J. Roberts
Jeffery Wishart
L. Head
Alonso Granados Baca
18
8
0
27 Jan 2022
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series
  Forecast Models
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
U. Schlegel
D. Lam
Daniel A. Keim
Daniel Seebacher
FAtt
AI4TS
43
29
0
17 Sep 2021
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
136
190
0
13 Jan 2021
SOLOv2: Dynamic and Fast Instance Segmentation
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang
Rufeng Zhang
Tao Kong
Lei Li
Chunhua Shen
SSeg
ISeg
56
98
0
23 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
223
3,462
0
21 Mar 2017
License Plate Detection and Recognition Using Deeply Learned
  Convolutional Neural Networks
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
Syed Zain Masood
Guang Shu
Afshin Dehghan
E. Ortiz
34
133
0
21 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 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
216
2,055
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,631
0
02 Nov 2015
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