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Anticipating Traffic Accidents with Adaptive Loss and Large-scale
  Incident DB

Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB

8 April 2018
Tomoyuki Suzuki
Hirokatsu Kataoka
Y. Aoki
Y. Satoh
ArXivPDFHTML

Papers citing "Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB"

8 / 8 papers shown
Title
Nexar Dashcam Collision Prediction Dataset and Challenge
Daniel C. Moura
Shizhan Zhu
Orly Zvitia
66
0
0
05 Mar 2025
Cognitive Accident Prediction in Driving Scenes: A Multimodality
  Benchmark
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark
Jianwu Fang
Lei-lei Li
Kuan Yang
Zhedong Zheng
Jianru Xue
Tat-Seng Chua
26
13
0
19 Dec 2022
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao
Qi Yu
Yu Kong
FAtt
22
39
0
21 Jul 2021
A Dynamic Spatial-temporal Attention Network for Early Anticipation of
  Traffic Accidents
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents
Muhammad Monjurul Karim
Yu Li
Ruwen Qin
Zhaozheng Yin
19
54
0
18 Jun 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental
  Sciences -- Version 1
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
I. Ebert‐Uphoff
Ryan Lagerquist
Kyle Hilburn
Yoonjin Lee
Katherine Haynes
Jason Stock
C. Kumler
J. Stewart
16
20
0
17 Jun 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for
  Speed-Accuracy Optimization
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
Taiki Miyagawa
Akinori F. Ebihara
17
3
0
28 May 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
37
169
0
13 Jan 2021
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
Hirokatsu Kataoka
Teppei Suzuki
S. Oikawa
Y. Matsui
Y. Satoh
10
37
0
07 Apr 2018
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