Abstract The recently developed DEtection TRansformer (DETR) establishes a new object
detection paradigm by eliminating a series of hand-crafted components. However, DETR …

Text images contain both visual and linguistic information. However, existing pre-training
techniques for text recognition mainly focus on either visual representation learning or …

Abstract Recently, Vision-Language Pre-training (VLP) techniques have greatly benefited
various vision-language tasks by jointly learning visual and textual representations, which …

Multiple-license plate recognition is gaining popularity in the Intelligent Transport System
(ITS) applications for security monitoring and surveillance. Advancements in acquisition …

Uyghur text detection and recognition in images with simple backgrounds is still a
challenging task for Uyghur image content analysis. In this paper, we propose a new …

Text images contain both visual and linguistic information. However, existing pre-training
techniques for text recognition mainly focus on either visual representation learning or …

Most existing scene text detectors focus on detecting characters or words that only capture
partial text messages due to missing contextual information. For a better understanding of …

As a great invention that affects human development and progress, writing plays an
essential role in human life and learning and the inheritance and development of culture …

This work contrasts practical requirements of industry with the theory and research behind
text detection and recognition, with experiments conducted to confirm the feasibility of a …

Optical Character Recognition (OCR) is a method to transform images in words into digital
documents in the computer vision field. This helps digital or hand-written words and …