A paper using optimal transport to solve the graph matching problem.

Last update: Jan 04, 2023

Overview

GOAT

A paper using optimal transport to solve the graph matching problem.

https://arxiv.org/abs/2111.05366

Repo structure

.github: Files specifying how the repo behaves on GitHub
data: Directory to store the raw data.
docs: Files to build the documentation website in the form of a Jupyter Book
pkg: A local Python package used for analysis in the Jupyter Notebooks

Building the book

Coming soon

Running the code

Coming soon

Credits

This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.

Owner

neurodata

GitHub Repository http://docs.neurodata.io/goat/

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A paper using optimal transport to solve the graph matching problem.

Related tags

Overview

GOAT

Repo structure

Building the book

Running the code

Credits

Owner

neurodata

ComputerVision - This repository aims at realized easy network architecture

Public Code for NIPS submission SimiGrad: Fine-Grained Adaptive Batching for Large ScaleTraining using Gradient Similarity Measurement

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

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RANZCR-CLiP 7th Place Solution

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