Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions-Reference-Cited by-同舟云学术

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Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions

Published:2013-06 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE Conference on Computer Vision and Pattern Recognition
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Author:

Zhang Dong,Javed Omar,Shah Mubarak

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6596161/6618844/06618931.pdf?arnumber=6618931

Cited by 187 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. VOS;Video Object Segmentation;2023-12-16

2. Composing Diverse Ensembles of Convolutional Neural Networks by Penalization;Mathematics;2023-11-22

3. A systematic review of deep learning frameworks for moving object segmentation;Multimedia Tools and Applications;2023-08-09

4. A Survey on Deep Learning Technique for Video Segmentation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-06-01

5. Complementary Segmentation of Primary Video Objects with Reversible Flows;Applied Sciences;2022-08-02

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