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20182022
most citedStackMix and Blot Augmentations for Handwritten Text Recognition

12 citations · 32 across the 6 of their papers we have counts for

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cs.CV2023

RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition

Igor Markov, Sergey Nesteruk, Andrey Kuznetsov +1

Information surrounds people in modern life. Text is a very efficient type of information that people use for communication for centuries. However, automated text-in-the-wild recog…

cs.CV20221 cited

RuCLIP -- new models and experiments: a technical report

Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov +10

In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-…

cs.CV20222 cited

A new face swap method for image and video domains: a technical report

Daniil Chesakov, Anastasia Maltseva, Alexander Groshev +2

Deep fake technology became a hot field of research in the last few years. Researchers investigate sophisticated Generative Adversarial Networks (GAN), autoencoders, and other appr…

cs.CV202112 cited

StackMix and Blot Augmentations for Handwritten Text Recognition

Alex Shonenkov, Denis Karachev, Maxim Novopoltsev +2

This paper proposes a handwritten text recognition(HTR) system that outperforms current state-of-the-artmethods. The comparison was carried out on three of themost frequently used…

cs.CV2021

Digital Peter: Dataset, Competition and Handwriting Recognition Methods

Mark Potanin, Denis Dimitrov, Alex Shonenkov +3

This paper presents a new dataset of Peter the Great's manuscripts and describes a segmentation procedure that converts initial images of documents into the lines. The new dataset…