Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation

13 November 2018

Papers citing "Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation"

22 / 22 papers shown

Title
Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation Guanfang Dong Chenqiu Zhao Xichen Pan Anup Basu VOS 29 3 0 19 Apr 2023
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection Yongqi An Xu Zhao Tao Yu Haiyun Guo Chaoyang Zhao Ming Tang Jinqiao Wang 40 20 0 26 Mar 2023
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos Jhony H. Giraldo S. Javed Naoufel Werghi T. Bouwmans 27 26 0 13 Jul 2022
Optical flow-based branch segmentation for complex orchard environments A. You C. Grimm J. Davidson 23 9 0 26 Feb 2022
An exploration of the performances achievable by combining unsupervised background subtraction algorithms Sébastien Piérard Marc Braham Marc Van Droogenbroeck 21 0 0 25 Feb 2022
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 27 0 19 Sep 2021
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs Murari Mandal Santosh Kumar Vipparthi 27 83 0 04 May 2021
Universal Background Subtraction based on Arithmetic Distribution Neural Network Chenqiu Zhao Kang-Ting Hu Anup Basu 32 21 0 16 Apr 2021
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction M. Tezcan Prakash Ishwar Janusz Konrad 18 77 0 23 Jan 2021
Video Summarization Using Deep Neural Networks: A Survey Evlampios Apostolidis E. Adamantidou Alexandros I. Metsai Vasileios Mezaris Ioannis Patras AI4TS 66 202 0 15 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 35 2 0 04 Jan 2021
"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences W. Boerdijk M. Sundermeyer M. Durner Rudolph Triebel 19 7 0 06 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions W. Boerdijk M. Sundermeyer M. Durner Rudolph Triebel 30 8 0 11 Feb 2020
Moving Objects Detection with a Moving Camera: A Comprehensive Review Marie-Neige Chapel T. Bouwmans 29 93 0 15 Jan 2020
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection A. Akhriev Jakub Mareˇcek UQCV 32 4 0 09 Dec 2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences Amirreza Farnoosh B. Rezaei Sarah Ostadabbas BDL 31 15 0 03 Feb 2019
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions T. Bouwmans B. G. García 26 269 0 11 Jan 2019
Background Subtraction with Real-time Semantic Segmentation Dongdong Zeng Xiang Chen Ming Zhu Michael Goesele Arjan Kuijper VOS 36 44 0 25 Nov 2018
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm Canyi Lu Jiashi Feng Yudong Chen Wei Liu Zhouchen Lin Shuicheng Yan 56 736 0 10 Apr 2018
DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai Xiangmin Xu Kui Jia Chunmei Qing Dacheng Tao 117 2,401 0 28 Jan 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014