activity
20192024
most citedRethinking Text Line Recognition Models

19 citations · 44 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 13 cited

PaliGemma 2: A Family of Versatile VLMs for Transfer

Andreas Steiner, André Susano Pinto, Michael Tschannen +15

PaliGemma 2 is an upgrade of the PaliGemma open Vision-Language Model (VLM) based on the Gemma 2 family of language models. We combine the SigLIP-So400m vision encoder that was als…

cs.CV2023

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

Debapriya Tula, Sujoy Paul, Gagan Madan +3

Recognizing text lines from images is a challenging problem, especially for handwritten documents due to large variations in writing styles. While text line recognition models are…

cs.CL2023

OCR Language Models with Custom Vocabularies

Peter Garst, Reeve Ingle, Yasuhisa Fujii

Language models are useful adjuncts to optical models for producing accurate optical character recognition (OCR) results. One factor which limits the power of language models in th…

cs.CL2023★ 12 cited

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin +24

Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is part…

cs.CV2021★ 19 cited

Rethinking Text Line Recognition Models

Daniel Hernandez Diaz, Siyang Qin, Reeve Ingle +2

In this paper, we study the problem of text line recognition. Unlike most approaches targeting specific domains such as scene-text or handwritten documents, we investigate the gene…

cs.CV2019

A Scalable Handwritten Text Recognition System

R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers +2

Many studies on (Offline) Handwritten Text Recognition (HTR) systems have focused on building state-of-the-art models for line recognition on small corpora. However, adding HTR cap…