Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos-Reference-Cited by-同舟云学术

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Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Haller Emanuela,Florea Adina Magda,Leordeanu Marius

Funder

Unitatea Executiva pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09573434.pdf?arnumber=9573434

Cited by 3 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

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2. Deep Learning and Multi-Feature Fusion based New Media Communication Event Clustering Study;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Noisy-to-Clean Label Learning for Medical Image Segmentation;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

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