Image Machine Translation

Image machine translation (IMT) focuses on automatically translating text within images from one language to another, aiming to improve accuracy and efficiency compared to traditional cascaded approaches. Current research emphasizes end-to-end models, often incorporating techniques like multimodal codebooks and knowledge distillation from pipeline models (which involve separate recognition and translation stages) to enhance performance and reduce parameter counts. This field is significant for its potential to improve cross-lingual communication and accessibility, particularly in applications requiring multilingual image processing and understanding.