ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.13037
  4. Cited By
AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited
  Transcriptions

AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions

27 April 2021
M. Kišš
Karel Beneš
Michal Hradiš
ArXivPDFHTML

Papers citing "AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions"

3 / 3 papers shown
Title
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Karel Beneš
M. Kocour
L. Burget
23
2
0
21 May 2023
Fine-tuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
Fine-tuning Is a Surprisingly Effective Domain Adaptation Baseline in Handwriting Recognition
Jan Kohút
Michal Hradiš
47
7
0
13 Feb 2023
Self-Training of Handwritten Word Recognition for Synthetic-to-Real
  Adaptation
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
Fabian Wolf
G. Fink
17
5
0
07 Jun 2022
1