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Is it an i or an l: Test-time Adaptation of Text Line Recognition Models

Is it an i or an l: Test-time Adaptation of Text Line Recognition Models

29 August 2023
Debapriya Tula
S. Paul
Gagan Madan
P. Garst
R. Ingle
Gaurav Aggarwal
    VLM
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Papers citing "Is it an i or an l: Test-time Adaptation of Text Line Recognition Models"

13 / 13 papers shown
Title
Towards Writing Style Adaptation in Handwriting Recognition
Towards Writing Style Adaptation in Handwriting Recognition
Jan Kohút
Michal Hradiš
M. Kišš
AI4TS
96
4
0
13 Feb 2023
Test-time Adaptation with Slot-Centric Models
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai
Anirudh Goyal
S. Paul
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gaurav Aggarwal
Thomas Kipf
Deepak Pathak
Katerina Fragkiadaki
TTA
38
9
0
21 Mar 2022
Reconstructing Training Data from Diverse ML Models by Ensemble
  Inversion
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
Qian Wang
Daniel Kurz
40
9
0
05 Nov 2021
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
227
360
0
21 Sep 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
60
82
0
30 Mar 2021
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
90
480
0
30 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OOD
AI4TS
85
247
0
19 Jun 2020
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
Sharon Fogel
Hadar Averbuch-Elor
S. Cohen
Shai Mazor
R. Litman
GAN
130
115
0
23 Mar 2020
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word
  Recognition
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
Lei Kang
Marçal Rusiñol
Alicia Fornés
Pau Riba
M. Villegas
44
24
0
18 Sep 2019
Scene Text Detection and Recognition: The Deep Learning Era
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long
Xin He
Cong Yao
VLM
97
397
0
10 Nov 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
135
1,542
0
28 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
136
3,001
0
08 Nov 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,813
0
17 Apr 2017
1