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Transfer Learning for the Visual Arts: The Multi-Modal Retrieval of Iconclass Codes

This repository contains all the code used in the following journal paper:

Nikolay Banar, Walter Daelemans, Mike Kestemont, "Transfer Learning for the Visual Arts: The Multi-Modal Retrieval of Iconclass Codes". Journal on Computing and Cultural Heritage (2022).

The following commands can be used to train or test the models:

CUDA_VISIBLE_DEVICES=0,1 python train.py --conf config_experiments/both_finetuning/ide2c_L19_L10.json CUDA_VISIBLE_DEVICES=0,1 python test.py --conf config_experiments/both_finetuning/ide2c_L19_L10.json

The short tutorial is here.

@inproceedings{banar2022multi, title={Transfer Learning for the Visual Arts: The Multi-Modal Retrieval of Iconclass Codes.}, author={Banar, Nikolay and Daelemans, Walter and Kestemont, Mike}, booktitle={Journal on Computing and Cultural Heritage}, pages={to be published}, year={2022}}

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