Search Results for author:
Found 3 papers, 3 papers with code
Fine-tuning of sign language recognition models: a technical report
We also investigated how the additional training of the model in another sign language affects the quality of recognition.
Ranked #3 on
Sign Language Recognition
on WLASL-2000
(using extra training data)
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.
