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Additional repository with results & data of our paper Feature Mixing for Writer Retrieval and Identification on Papyri Fragments

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hip23-data

hip23

Additional repository of

Marco Peer and Robert Sablatnig: Feature Mixing for Writer Retrieval and Identification on Papyri Fragments at HIP@ICDAR2023. Our code is available in the corresponding repository. Paper on arXiv

The repository contains the three versions of the PapyRow dataset (they will probably be moved to another location soon):

  1. color - the original version as proposed in the paper
  2. sauvola - binarized version using Sauvola's algorithm
  3. unet - binarized version using a U-Net with Tormentor augmentations

In the models directory, the trained networks are saved (trained on ID 4) - to reproduce the retrieval results, e.g.

Dios_color
Dios_sauvola
Dios_unet

Please consider citing our paper if you find it helpful

@InProceedings{Peer_2023_HIP,
    author    = {Peer, Marco and Sablatnig, Robert},
    title     = {Feature Mixing for Writer Retrieval and Identification on Papyri Fragments},
    booktitle = {accepted for presentation at HIP@ICDAR2023: 7th International Workshop on Historical Document Imaging and Processing},
    month     = {August},
    year      = {2023},
}

If you have questions, do not hesitate to contact me mpeer(at)cvl.tuwien.ac.at

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Additional repository with results & data of our paper Feature Mixing for Writer Retrieval and Identification on Papyri Fragments

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