Gradient-driven unsupervised video segmentation using deep learning techniques
Author:
Affiliation:
1. Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, New Yor
2. Rochester Institute of Technology, School of Mathematical Sciences, Rochester, New York
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference35 articles.
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Cited by 2 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. Video Content Analysis Using Deep Learning Methods;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023
2. Application of Virtual Reality Technology and Unsupervised Video Object Segmentation Algorithm in 3D Model Modeling;Advances in Mathematical Physics;2022-10-13
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