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Driving Scene Perception Network: Real-time Joint Detection, Depth
  Estimation and Semantic Segmentation

Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation

10 March 2018
Liangfu Chen
Ze Yang
J. Ma
Zheng Luo
ArXivPDFHTML

Papers citing "Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation"

6 / 6 papers shown
Title
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and
  Monocular Depth Estimation
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S. Landgraf
Markus Hillemann
Theodor Kapler
Markus Ulrich
UQCV
34
8
0
16 Feb 2024
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object
  Detection in Autonomous Driving Systems
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu
Chunfang Liu
Jayanta K. Dutta
Ming-Ching Chang
Siwei Lyu
Naveen Ramakrishnan
18
15
0
11 Mar 2022
Deep Joint Source-Channel Coding for Multi-Task Network
Deep Joint Source-Channel Coding for Multi-Task Network
Mengyang Wang
Zhicong Zhang
Jiahui Li
Mengyao Ma
Xiaopeng Fan
14
28
0
13 Sep 2021
Accurate, Low-Latency Visual Perception for Autonomous
  Racing:Challenges, Mechanisms, and Practical Solutions
Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions
Kieran L. Strobel
Sibo Zhu
Raphael Chang
Skanda Koppula
45
24
0
28 Jul 2020
Real-Time Joint Semantic Segmentation and Depth Estimation Using
  Asymmetric Annotations
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
29
148
0
13 Sep 2018
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
235
2,056
0
07 Jun 2016
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