Global video object segmentation with spatial constraint module

CC BY

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Bibliographic Details
Main Authors: Yadang, Chen, Duolin, Wang, Zhiguo, Chen
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s41095-022-0282-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7316
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spelling oai:localhost:PNK-73162023-03-30T03:02:11Z Global video object segmentation with spatial constraint module Yadang, Chen Duolin, Wang Zhiguo, Chen global context memory framework CC BY We present a lightweight and efficient semi-supervised video object segmentation network based on the space-time memory framework. To some extent, our method solves the two difficulties encountered in traditional video object segmentation: one is that the single frame calculation time is too long, and the other is that the current frame’s segmentation should use more information from past frames. The algorithm uses a global context (GC) module to achieve high-performance, real-time segmentation. 2023-03-30T03:02:11Z 2023-03-30T03:02:11Z 2023 Book https://link.springer.com/article/10.1007/s41095-022-0282-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7316 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic global context
memory framework
spellingShingle global context
memory framework
Yadang, Chen
Duolin, Wang
Zhiguo, Chen
Global video object segmentation with spatial constraint module
description CC BY
format Book
author Yadang, Chen
Duolin, Wang
Zhiguo, Chen
author_facet Yadang, Chen
Duolin, Wang
Zhiguo, Chen
author_sort Yadang, Chen
title Global video object segmentation with spatial constraint module
title_short Global video object segmentation with spatial constraint module
title_full Global video object segmentation with spatial constraint module
title_fullStr Global video object segmentation with spatial constraint module
title_full_unstemmed Global video object segmentation with spatial constraint module
title_sort global video object segmentation with spatial constraint module
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s41095-022-0282-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7316
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score 8.887836