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. 2208.08109
  4. Cited By
Boosting Modern and Historical Handwritten Text Recognition with
  Deformable Convolutions

Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions

17 August 2022
S. Cascianelli
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
ArXivPDFHTML

Papers citing "Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions"

11 / 11 papers shown
Title
Handwritten Text Recognition: A Survey
Handwritten Text Recognition: A Survey
Carlos Garrido-Munoz
Antonio Ríos-Vila
Jorge Calvo-Zaragoza
106
0
0
12 Feb 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning
Wenhao Gu
Li Gu
Ziqiang Wang
Ching Yee Suen
Yang Wang
53
0
0
22 Jan 2025
HTR-VT: Handwritten Text Recognition with Vision Transformer
HTR-VT: Handwritten Text Recognition with Vision Transformer
Yuting Li
Dexiong Chen
Tinglong Tang
Xi Shen
ViT
23
7
0
13 Sep 2024
Boosting CNN-based Handwriting Recognition Systems with Learnable
  Relaxation Labeling
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling
S. Ferro
Alessandro Torcinovich
Arianna Traviglia
Marcello Pelillo
33
0
0
09 Sep 2024
Align, Minimize and Diversify: A Source-Free Unsupervised Domain
  Adaptation Method for Handwritten Text Recognition
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition
María Alfaro-Contreras
Jorge Calvo-Zaragoza
41
0
0
28 Apr 2024
HWD: A Novel Evaluation Score for Styled Handwritten Text Generation
HWD: A Novel Evaluation Score for Styled Handwritten Text Generation
Vittorio Pippi
Fabio Quattrini
S. Cascianelli
Rita Cucchiara
30
6
0
31 Oct 2023
How to Choose Pretrained Handwriting Recognition Models for Single
  Writer Fine-Tuning
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
Vittorio Pippi
S. Cascianelli
Christopher Kermorvant
Rita Cucchiara
24
6
0
04 May 2023
Handwritten Text Generation from Visual Archetypes
Handwritten Text Generation from Visual Archetypes
Vittorio Pippi
S. Cascianelli
Rita Cucchiara
27
20
0
27 Mar 2023
DARE: A large-scale handwritten date recognition system
DARE: A large-scale handwritten date recognition system
Christian Moller Dahl
Torben S. D. Johansen
Emil N. Sørensen
Christian Westermann
Simon Wittrock
AI4TS
26
1
0
02 Oct 2022
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text
  Recognition
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition
S. Cascianelli
Vittorio Pippi
Martin Maarand
Marcella Cornia
Lorenzo Baraldi
Christopher Kermorvant
Rita Cucchiara
21
7
0
16 Aug 2022
TrOCR: Transformer-based Optical Character Recognition with Pre-trained
  Models
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Minghao Li
Tengchao Lv
Jingye Chen
Lei Cui
Yijuan Lu
D. Florêncio
Cha Zhang
Zhoujun Li
Furu Wei
ViT
98
343
0
21 Sep 2021
1