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Pay Attention to What You Read: Non-recurrent Handwritten Text-Line
  Recognition

Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition

26 May 2020
Lei Kang
Pau Riba
Marccal Rusinol
Alicia Fornés
M. Villegas
ArXivPDFHTML

Papers citing "Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition"

20 / 20 papers shown
Title
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
General Detection-based Text Line Recognition
General Detection-based Text Line Recognition
Raphael Baena
Syrine Kalleli
Mathieu Aubry
190
0
0
25 Sep 2024
Understanding attention-based encoder-decoder networks: a case study
  with chess scoresheet recognition
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition
Sergio Y. Hayashi
N. Hirata
57
0
0
23 Apr 2024
DTrOCR: Decoder-only Transformer for Optical Character Recognition
DTrOCR: Decoder-only Transformer for Optical Character Recognition
Masato Fujitake
51
35
0
30 Aug 2023
Handwritten Stenography Recognition and the LION Dataset
Handwritten Stenography Recognition and the LION Dataset
R. Heil
Malin Nauwerck
AI4TS
21
3
0
15 Aug 2023
Combining OCR Models for Reading Early Modern Printed Books
Combining OCR Models for Reading Early Modern Printed Books
Mathias Seuret
Janne van der Loop
Nikolaus Weichselbaumer
Martin Mayr
J. Molnar
Tatjana Hass
Florian Kordon
Anguelos Nicolau
Vincent Christlein
29
2
0
11 May 2023
Evaluating Synthetic Pre-Training for Handwriting Processing Tasks
Evaluating Synthetic Pre-Training for Handwriting Processing Tasks
Vittorio Pippi
S. Cascianelli
Lorenzo Baraldi
Rita Cucchiara
28
5
0
04 Apr 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
62
7
0
13 Feb 2023
Towards Writing Style Adaptation in Handwriting Recognition
Towards Writing Style Adaptation in Handwriting Recognition
Jan Kohút
Michal Hradiš
M. Kišš
AI4TS
78
4
0
13 Feb 2023
Towards Robust Handwritten Text Recognition with On-the-fly User
  Participation
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
Ajoy Mondal
Rohit Saluja
C. V. Jawahar
HAI
30
0
0
17 Dec 2022
UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for
  Evaluating Unconstrained Handwriting Image Recognition in Vietnamese
UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese
Nghia Hieu Nguyen
Duong T.D. Vo
Kiet Van Nguyen
29
1
0
10 Nov 2022
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis
  via Stacked Transformers
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers
Yitian Liu
Zheng Lian
43
13
0
12 Oct 2022
Boosting Modern and Historical Handwritten Text Recognition with
  Deformable Convolutions
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions
S. Cascianelli
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
27
22
0
17 Aug 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
Easter2.0: Improving convolutional models for handwritten text
  recognition
Easter2.0: Improving convolutional models for handwritten text recognition
Kartik Chaudhary
Raghav Bali
36
9
0
30 May 2022
DAN: a Segmentation-free Document Attention Network for Handwritten
  Document Recognition
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
Denis Coquenet
Clément Chatelain
Thierry Paquet
36
57
0
23 Mar 2022
Asking questions on handwritten document collections
Asking questions on handwritten document collections
Minesh Mathew
Lluís Gómez
Dimosthenis Karatzas
C. V. Jawahar
RALM
33
11
0
02 Oct 2021
Rethinking Text Line Recognition Models
Rethinking Text Line Recognition Models
Daniel Hernandez Diaz
Siyang Qin
R. Ingle
Yasuhisa Fujii
Alessandro Bissacco
VLM
38
51
0
15 Apr 2021
Full Page Handwriting Recognition via Image to Sequence Extraction
Full Page Handwriting Recognition via Image to Sequence Extraction
Sumeet S. Singh
Sergey Karayev
27
53
0
11 Mar 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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