In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …

Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

Multimodal large language models (MLLMs) building upon the foundation of powerful large
language models (LLMs) have recently demonstrated exceptional capabilities in generating …

Many new proposals for scene text recognition (STR) models have been introduced in
recent years. While each claim to have pushed the boundary of the technology, a holistic …

Recently, models based on deep neural networks have dominated the fields of scene text
detection and recognition. In this paper, we investigate the problem of scene text spotting …

A challenging aspect of scene text recognition is to handle text with distortions or irregular
layout. In particular, perspective text and curved text are common in natural scenes and are …

Irregular text is widely used. However, it is considerably difficult to recognize because of its
various shapes and distorted patterns. In this paper, we thus propose a multi-object rectified …

This paper introduces a novel rotation-based framework for arbitrary-oriented text detection
in natural scene images. We present the Rotation Region Proposal Networks, which are …

Text recognition has attracted considerable research interests because of its various
applications. The cutting-edge text recognition methods are based on attention mechanisms …

Scene text recognition (STR) enables computers to read text in natural scenes such as
object labels, road signs and instructions. STR helps machines perform informed decisions …