Jan Kohút

Publikace

• 2023

  KOHÚT Jan a HRADIŠ Michal. Finetuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition. In: Document Analysis and Recognition - ICDAR 2023. Lecture Notes in Computer Science, roč. 14190. San José: Springer Nature Switzerland AG, 2023, s. 269-286. ISBN 978-3-031-41684-2. ISSN 0302-9743.
  Detail

  KOHÚT Jan, HRADIŠ Michal a KIŠŠ Martin. Towards Writing Style Adaptation in Handwriting Recognition. In: Document Analysis and Recognition - ICDAR 2023. Lecture Notes in Computer Science, roč. 14190. San José: Springer Nature Switzerland AG, 2023, s. 377-394. ISBN 978-3-031-41684-2. ISSN 0302-9743.
  Detail

• 2022

  KIŠŠ Martin, KOHÚT Jan, BENEŠ Karel a HRADIŠ Michal. Importance of Textlines in Historical Document Classification. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. Lecture Notes in Computer Science, roč. 13237. La Rochelle: Springer Nature Switzerland AG, 2022, s. 158-170. ISBN 978-3-031-06554-5.
  Detail

  DVOŘÁKOVÁ Martina, HRADIŠ Michal, ŽABIČKA Petr, KOHÚT Jan, KIŠŠ Martin a BENEŠ Karel. Využití PERO OCR při přepisu rukopisů. Archivní časopis, roč. 72, č. 1, 2022, s. 14-27. ISSN 0004-0398.
  Detail

• 2021

  KOHÚT Jan a HRADIŠ Michal. TS-Net: OCR Trained to Switch Between Text Transcription Styles. In: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. Lecture Notes in Computer Science, roč. 12824. Lausanne: Springer Nature Switzerland AG, 2021, s. 478-493. ISBN 978-3-030-86336-4. ISSN 0302-9743.
  Detail

• 2017

  HRADIŠ Michal a KOHÚT Jan. XNOR net report. Brno: Fingera s.r.o., 2017.
  Detail