DeepMeerkat (B. Weinstein, Oregon State University, USA)
B. Weinstein, "Scene-specific convolutional neural networks for video-based biodiversity detection", Methods in Ecology and Evolution, 2018.
Cascaded CNN (Z. Luo, Univ. of Sherbrooke, Canada)
Y. Wang, Z. Luo, P. Jodoin, “Interactive Deep Learning Method for Segmenting Moving Objects”, Pattern Recognition Letters, Special Issue on “Scene Background Modeling and Initialization”, 2016.
FgSegNet-M (L. Lim, Ankara University, Turkey)
L. Lim, H. Keles, "Foreground Segmentation using a Triplet Convolutional Neural Network for Multiscale Feature Encoding", Preprint, January 2018.
FgSegNet-S (L. Lim, Ankara University, Turkey)
L. Lim, H. Keles, "Foreground segmentation using convolutional neural networks for multiscale feature encoding", Pattern Recognition Letters, Volume 112 , pages 256–262, 2018.
FgSegNet-V2 (L. Lim,Ankara University, Turkey)
L. Lim, l. Ang, H. Keles, "Learning Multi-scale Features for Foreground Segmentation", Preprint, September 2018.
DPDL (C. Zhao, Nanyang Technological University, Singapore)
C. Zhao, T. Cham, X. Ren, J. Cai, H. Zhu, "Background Subtraction Based on Deep Pixel Distribution Learning", IEEE International Conference on Multimedia and Expo, ICME 2018, pages 1-6, San Diego, USA, 2018.
MSRNN (S. Choo, Seoul National University, South Korea)
S. Choo, W. Seo, D. Jeong, N. Cho, "Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification", IAPR International Conference on Pattern Recognition, ICPR 2018,Beijing, China, 2018.
DeepPBM (S. Ostadabbas, Northeastern University, USA)
A. Farnoosh, B. Rezaei, S. Ostadabbas, “DEEPPBM: Deep Probabilistic Background Model Estimation from Video Sequences”, Preprint, February 2019.
MU-Net (G. Rahmon, University of Missouri, USA)
G. Rahmon, F. Bunyak, G. Seetharaman, K. Palaniappan, "Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation", International Conference on Pattern Recognition, ICPR 2021, pages 8215-8132, 2021.
HOFAM (D. Zhang, Nanjing University of Science and Technology, China)
D. Liang, D. Zhang, Q. Wang, Z. Wei, L. Zhang, "CrossNet: Cross-scene Background Subtraction Network via 3D Optical Flow", IEEE Transactions on Multimedia, April 2023.
CSGNet (Y. Liao, National Chung Hsing University, Taiwan)
Y. Liao, Y. Lin, Y. Chang, C. Huang, "Cross-Scale Guidance Network for Few-Shot Moving Foreground Object Segmentation”, IEEE Transactions on Intelligent Transportation Systems, 2025.