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Normalized Cut meets MRF
Published on Feb 4, 20252638 Views
We propose a new segmentation model combining common regularization energies, e.g. Markov Random Field (MRF) potentials, and standard pairwise clustering criteria like Normalized Cut (NC), average ass
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Presentation
Normalized Cut Meets MRF00:00
Normalized Cut (NC) - 100:11
Normalized Cut (NC) - 200:31
Markov Random Field (MRF) - 100:39
Markov Random Field (MRF) - 200:50
Markov Random Field (MRF) - 300:59
Markov Random Field (MRF) - 401:08
Why MRF for Normalized Cut? - 101:32
Why MRF for Normalized Cut? - 202:12
Why MRF for Normalized Cut? - 302:40
Why MRF for Normalized Cut? - 403:32
Our proposal: Normalized Cut + MRF04:23
Bound optimization, in general05:05
Bound for our joint energy05:30
Kernel bound for NC05:53
Low-rank Approximation06:34
NC - 107:39
NC08:23
NC - 309:08
Our Kernel Cut and Spectral Cut09:30
Experiments: MRF helps Normalized Cut - 109:54
Experiments: MRF helps Normalized Cut - 210:25
Experiments: Normalized Cut helps MRF10:37
More Experiments11:12
Conclusion11:18