MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation.
Alexandre HayderiAmin SaberiEllen VitercikAnders WikumPublished in: CoRR (2024)
Keyphrases
- data structure
- real time
- learning algorithm
- image processing
- dynamic programming
- optimization problems
- computationally efficient
- error bounds
- uniform sampling
- error estimates
- stereo correspondence
- convergence rate
- recently developed
- computational efficiency
- image matching
- orders of magnitude
- online learning
- data streams
- neural network
- data sets