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Found 7 papers, 5 papers with code
RuCLIP -- new models and experiments: a technical report
In the report we propose six new implementations of ruCLIP model trained on our 240M pairs.
Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction
Every modern neural network model has quite a few pointwise nonlinearities in its architecture, and such operation induces additional memory costs which -- as we show -- can be significantly reduced by quantization of the gradients.
Handwritten text generation and strikethrough characters augmentation
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-reported results on handwriting text recognition (HTR) tasks.
Emojich -- zero-shot emoji generation using Russian language: a technical report
This technical report presents a text-to-image neural network "Emojich" that generates emojis using captions in Russian language as a condition.
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called Fusion Brain, the first competition which is targeted to make the universal architecture which could process different modalities (in this case, images, texts, and code) and solve multiple tasks for vision and language.
StackMix and Blot Augmentations for Handwritten Text Recognition
This paper proposes a handwritten text recognition(HTR) system that outperforms current state-of-the-artmethods.
Ranked #1 on
Handwritten Text Recognition
on IAM-D
Digital Peter: Dataset, Competition and Handwriting Recognition Methods
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.
