Post Processing Algorithm for Background Subtraction Model based on Entropy Approximation and Style Transfer Neural Network-Reference-Cited by-同舟云学术

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Post Processing Algorithm for Background Subtraction Model based on Entropy Approximation and Style Transfer Neural Network

Published:2022-12-20 Issue: Volume: Page:
ISSN:
Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
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Author:

Trung Tin-Thai¹,Ha Synh Viet-Uyen¹

Affiliation:

1. School of Computer Science and Engineering International University,Ho Chi Minh City

Funder

VNU-HCM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013805.pdf?arnumber=10013805

Reference22 articles.

1. Background Subtraction With Real-Time Semantic Segmentation

2. Change Detection by Training a Triplet Network for Motion Feature Extraction

3. Foreground Segmentation Using a Triplet Convo-lutional Neural Network for Multiscale Feature Encoding;lim;ArXiv,2018

4. Learning multi-scale features for foreground segmentation

5. BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation;IEEE Transactions on Image Processing;2024

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