Text-MAE: Learning Language through Self-Supervised Visual Reconstruction for Handwritten Text Line Recognition
We build upon the fully convolutional masked autoender ConvNeXt-v2 to introduce the first line-level self-supervised framework for Handwritten Text Recognition. The standard masking strategy used for natural images is inadequate for text recognition needs so we propose a strategy dedicated to HTR. We further propose to model language during pretraining…