Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering-Reference-Cited by-同舟云学术

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Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering

Published:2023 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xi Lin¹^ORCID,Chen Weihai¹^ORCID,Wu Xingming¹^ORCID,Liu Zhong¹^ORCID,Li Zhengguo²^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. SRO Department, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #21-01, Connexis South Tower, Singapore, Republic of Singapore

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/10159996.pdf?arnumber=10159996

Cited by 4 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. Motion perception-driven multimodal self-supervised video object segmentation;The Visual Computer;2024-08-09

2. How SAM helps Unsupervised Video Object Segmentation?;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Adversarial Attacks on Video Object Segmentation with Hard Region Discovery;IEEE Transactions on Circuits and Systems for Video Technology;2024

4. Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals;IEEE Open Journal of Signal Processing;2024

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