Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

15 December 2021

Papers citing "Autoencoder-based background reconstruction and foreground segmentation with background noise estimation"

7 / 7 papers shown

Title
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers H. Shimodaira AI4CE SSeg 59 0 0 19 Apr 2024
Benchmarks for Physical Reasoning AI Andrew Melnik Robin Schiewer Moritz Lange Andrei Muresanu Mozhgan Saeidi Animesh Garg Helge J. Ritter 24 8 0 17 Dec 2023
Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation Guanfang Dong Chenqiu Zhao Xichen Pan Anup Basu VOS 16 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 35 20 0 26 Mar 2023
Application Of ADNN For Background Subtraction In Smart Surveillance System Piyush Batra Gagandeep Singh N. Goyal 13 0 0 31 Dec 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Bruno Sauvalle A. de La Fortelle 3DPC 49 12 0 26 May 2022
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 205 344 0 22 Jan 2020