Self Supervised Scene Text Recognition

Self-supervised scene text recognition is an important branch in the field of computer vision, aiming to automatically recognize textual content in natural scenes without the need for large amounts of labeled data. The goal of this task is to enhance the model's generalization and robustness in complex environments while reducing the cost of manual annotation. Its application value is extensive, including but not limited to intelligent transportation systems, document analysis and understanding, image search, and augmented reality scenarios.