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Gromov-Wasserstein for
Encoding Structural Priors
A relatively) general formulation for (discrete) GW problems:
minimize
c
CVPR
JUNE 17-21, 2024
SEATTLE, W
Gromov-Wasserstein for
Encoding Structural Priors
A relatively) p
screte) GW problems
St
TI-I
Cost matrices Cea and c c R
"Loss function between cost matry
Cost m
- "Loss"
ments La Rx-
Gromov-Wasserstein for
Encoding Structural Priors
A (relatively) general formulation for (discrete) GW problems:
minimize Σi,ke[N] L(CC)TijTkl
TERNXK
s.t.
j.LE KI
T1K = 1N,
T1N=1K,
> Cost matrices C E IRNXN and Ca E RKXK
Nation an
University
> "Loss" function between cost matrix elements L: IR XR-R
Ming Xu and Stephen Gould. Temporally Consistent Unbalanced Optimal Transport for Unsupervised
SUPP