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Kaggle Landmark Recognition 2020 competition: Winner solution

This repository contains the code for our winning solution to the 2020 edition of the Google Landmark Recognition competition hosted on Kaggle:

The full solution is described in a paper hosted on arxiv:

In order to run this code you need the train and test data from GLDv2:

To train a model, please run

with a config file as flag:
python --config config1

You need to adjust data paths and other parameters in respective config file to make it work.

The blending and ranking procedure is detailed in


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