Decoupled Attention Network for Text Recognition

Understand

Text recognition has attracted considerable research interests because of its various applications.

• The cutting-edge text recognition methods are based on attention mechanisms.
• However, most of attention methods usually suffer from serious alignment problem due to its recurrency alignment operation, where the alignment relies on historical decoding results.
• To remedy this issue, we propose a decoupled attention network (DAN), which decouples the alignment operation from using historical decoding results.