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Joint Background Reconstruction and Foreground Segmentation via A
  Two-stage Convolutional Neural Network

Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network

24 July 2017
Xu Zhao
Yingying Chen
Ming Tang
Jinqiao Wang
ArXiv (abs)PDFHTML

Papers citing "Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network"

5 / 5 papers shown
Title
An Empirical Review of Deep Learning Frameworks for Change Detection:
  Model Design, Experimental Frameworks, Challenges and Research Needs
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
Murari Mandal
Santosh Kumar Vipparthi
64
83
0
04 May 2021
Flow-based Video Segmentation for Human Head and Shoulders
Flow-based Video Segmentation for Human Head and Shoulders
Zijian Kuang
Xinran Tie
VOS3DH
41
11
0
20 Apr 2021
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Marie-Neige Chapel
T. Bouwmans
83
94
0
15 Jan 2020
Background Subtraction in Real Applications: Challenges, Current Models
  and Future Directions
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans
B. G. García
89
270
0
11 Jan 2019
Deep Neural Network Concepts for Background Subtraction: A Systematic
  Review and Comparative Evaluation
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
T. Bouwmans
S. Javed
M. Sultana
Soon Ki Jung
89
322
0
13 Nov 2018
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