E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text

Understand

An end-to-end trainable (fully differentiable) method for multi-language scene text localization and recognition is proposed.

• The approach is based on a single fully convolutional network (FCN) with shared layers for both tasks.
• E2E-MLT is the first published multi-language OCR for scene text.
• While trained in multi-language setup, E2E-MLT demonstrates competitive performance when compared to other methods trained for English scene text alone.