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ORCID7th HIP@ICDAR 2023: San Jose, CA, USA
- Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2023, San Jose, CA, USA, August 25-26, 2023. ACM 2023
- Solène Tarride
, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant:
Handwritten Text Recognition from Crowdsourced Annotations. 1-6 - Mohamed Ali Souibgui, Pau Torras, Jialuo Chen, Alicia Fornés:
An Evaluation of Handwritten Text Recognition Methods for Historical Ciphered Manuscripts. 7-12 - David Tschirschwitz, Franziska Klemstein, Henning Schmidgen, Volker Rodehorst:
Drawing the Line: A Dual Evaluation Approach for Shaping Ground Truth in Image Retrieval Using Rich Visual Embeddings of Historical Images. 13-18 - Kai Labusch, Clemens Neudecker:
Gauging the Limitations of Natural Language Supervised Text-Image Metrics Learning by Iconclass Visual Concepts. 19-24 - Tien-Nam Nguyen, Jean-Christophe Burie, Thi-Lan Le, Anne-Valérie Schweyer:
Two-step sequence transformer based method for Cham to Latin script transliteration. 25-30 - Marco Peer, Robert Sablatnig:
Feature Mixing for Writer Retrieval and Identification on Papyri Fragments. 31-36 - Simon Perrin, Léopold Cudilla, Yejing Xie, Harold Mouchère, Isabelle Marthot-Santaniello:
Homer restored: Virtual reconstruction of Papyrus Bodmer 1. 37-42 - Manh-Tu Vu, Marie Beurton-Aimar:
PapyTwin net: a Twin network for Greek letters detection on ancient Papyri. 43-48 - Victoria Eyharabide, Laurence Likforman-Sulem, Lucia Maria Orlandi, Alexandre Binoux, Théophile Rageau, Qijia Huang, Attilio Fiandrotti, Béatrice Caseau, Isabelle Bloch:
Study of historical Byzantine seal images: the BHAI project for computer-based sigillography. 49-54 - Said Naamneh, Nour Atamni, Boraq Madi, Daria Vasyutinsky Shapira, Irina Rabaev, Jihad El-Sana, Shoshana Boardman:
Classifying The Scripts of Aramaic Incantation Bowls. 55-60 - Lars Vögtlin, Anna Scius-Bertrand, Paul Maergner, Andreas Fischer, Rolf Ingold:
DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis. 61-66 - Stefan Klut, Rutger van Koert, Ronald Sluijter:
Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents. 67-72 - Vahid Rezanezhad, Konstantin Baierer, Mike Gerber, Kai Labusch, Clemens Neudecker:
Document Layout Analysis with Deep Learning and Heuristics. 73-78 - Vahid Rezanezhad, Konstantin Baierer, Clemens Neudecker:
A hybrid CNN-Transformer model for Historical Document Image Binarization. 79-84 - Isuri Anuradha Nanomi Arachchige, Le An Ha, Ruslan Mitkov, Johannes-Dieter Steinert:
Enhancing Named Entity Recognition for Holocaust Testimonies through Pseudo Labelling and Transformer-based Models. 85-90 - Christian Clausner, Stefan Pletschacher, Apostolos Antonacopoulos:
NAME - A Rich XML Format for Named Entity and Relation Tagging. 91-96 - Johan Zenk, Florian Kordon, Martin Mayr, Mathias Seuret, Vincent Christlein:
Investigations on Self-supervised Learning for Script-, Font-type, and Location Classification on Historical Documents. 97-102 - Furkan Simsek, Brian Pfitzmann, Hendrik Rätz, Jona Otholt, Haojin Yang, Christoph Meinel:
DocLangID: Improving Few-Shot Training to Identify the Language of Historical Documents. 103-108
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