Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition

Understand

Vision model have gained increasing attention due to their simplicity and efficiency in Scene Text Recognition (STR) task.

• However, due to lacking the perception of linguistic knowledge and information, recent vision models suffer from two problems: (1) the pure vision-based query results in attention drift, which usually causes poor recognition and is summarized as linguistic insensitive drift (LID) problem in this paper.
• (2) the visual feature is suboptimal for the recognition in some vision-missing cases (e.g.
• occlusion, etc.).