Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers

image-to-recipe-transformers

Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

This is the PyTorch companion code for the paper:

Amaia Salvador, Erhan Gundogdu, Loris Bazzani, and Michael Donoser. Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning. CVPR 2021

If you find this code useful in your research, please consider citing using the following BibTeX entry:

@inproceedings{salvador2021revamping,
    title={Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning},
    author={Salvador, Amaia and Gundogdu, Erhan and Bazzani, Loris and Donoser, Michael},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2021}
}

Cloning

This repository uses git-lfs to store model checkpoint files. Make sure to install it before cloning by following the instructions

 

 

 

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