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Semi-supervised video object segmentation using multiple random walkers
Won Dong Jang,
Chang-Su Kim
School of Electrical Engineering
Center for Artificial Intelligence Research
Research output
:
Contribution to conference
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Paper
›
peer-review
9
Citations (Scopus)
Overview
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Dive into the research topics of 'Semi-supervised video object segmentation using multiple random walkers'. Together they form a unique fingerprint.
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Computer Science
Experimental Result
100%
Conventional Algorithm
100%
Probability Estimation
100%
Objective Function
100%
segmentation algorithm
100%
Estimation Scheme
100%
Engineering
Multiple Random
100%
Random Walker
100%
Experimental Result
25%
Estimation Scheme
25%
Objective Function
25%
Target Object
25%
Random Field
25%
Initial Probability
25%
Probability Estimation
25%
Keyphrases
Multiple Random Walks
100%
Semi-supervised Video Object Segmentation
100%
Restart Rule
50%
Estimation Scheme
25%
Conventional Algorithm
25%
Segmentation Algorithm
25%
Markov Random Field Optimization
25%
Probability Estimation
25%