6 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko +9
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models. We introduce…
Handwritten text generation and strikethrough characters augmentation
Alex Shonenkov, Denis Karachev, Max Novopoltsev +3
We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate (WER) and Character Error Rate (CER) beyond best-r…