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Unknown-box Approximation to Improve Optical Character Recognition
  Performance

Unknown-box Approximation to Improve Optical Character Recognition Performance

IEEE International Conference on Document Analysis and Recognition (ICDAR), 2021
17 May 2021
Ayantha Randika
Nilanjan Ray
X. Xiao
Allegra A. Latimer
ArXiv (abs)PDFHTML

Papers citing "Unknown-box Approximation to Improve Optical Character Recognition Performance"

3 / 3 papers shown
Learning Instance-Specific Parameters of Black-Box Models Using
  Differentiable Surrogates
Learning Instance-Specific Parameters of Black-Box Models Using Differentiable Surrogates
Arnisha Khondaker
Nilanjan Ray
250
0
0
23 Jul 2024
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for
  Document Enhancement
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
Giordano Cicchetti
Danilo Comminiello
158
8
0
08 Apr 2024
Document Image Cleaning using Budget-Aware Black-Box Approximation
Document Image Cleaning using Budget-Aware Black-Box Approximation
Ganesh Tata
Katyani Singh
E. V. Oeveren
Nilanjan Ray
AAML
121
0
0
22 Jun 2023
1