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RST-MODNet: Real-time Spatio-temporal Moving Object Detection for
  Autonomous Driving

RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving

1 December 2019
M. Ramzy
Hazem Rashed
Ahmad El-Sallab
S. Yogamani
ArXivPDFHTML

Papers citing "RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving"

7 / 7 papers shown
Title
Segment Any Motion in Videos
Segment Any Motion in Videos
Nan Huang
Wenzhao Zheng
Chenfeng Xu
Kurt Keutzer
Shanghang Zhang
Angjoo Kanazawa
Qianqian Wang
VOS
53
0
0
28 Mar 2025
Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep
  Learning with Geometric Motion Model Fusion
Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
Yuxiang Huang
Yuhao Chen
John S. Zelek
38
1
0
02 May 2024
DOAD: Decoupled One Stage Action Detection Network
DOAD: Decoupled One Stage Action Detection Network
Shuning Chang
Pichao Wang
Fan Wang
Jiashi Feng
Mike Zheng Show
13
4
0
01 Apr 2023
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Jonathan Horgan
Ciarán Hughes
J. McDonald
S. Yogamani
26
55
0
26 Apr 2021
Computer vision in automated parking systems: Design, implementation and
  challenges
Computer vision in automated parking systems: Design, implementation and challenges
Markus Heimberger
Jonathan Horgan
Ciarán Hughes
J. McDonald
S. Yogamani
30
106
0
26 Apr 2021
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
116
166
0
08 Jul 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
1