The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

Recently, segmentation-based scene text detection methods have drawn extensive attention
in the scene text detection field, because of their superiority in detecting the text instances of …

Recently, segmentation-based methods are quite popular in scene text detection, as the
segmentation results can more accurately describe scene text of various shapes such as …

Object detection has recently experienced substantial progress. Yet, the widely adopted
horizontal bounding box representation is not appropriate for ubiquitous oriented objects …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

One of the main challenges for arbitrary-shaped text detection is to design a good text
instance representation that allows networks to learn diverse text geometry variances. Most …

Scene text detection and recognition has received increasing research attention. Existing
methods can be roughly categorized into two groups: character-based and segmentation …

The recent large-scale Contrastive Language-Image Pretraining (CLIP) model has shown
great potential in various downstream tasks via leveraging the pretrained vision and …

Scene text detection has witnessed rapid development in recent years. However, there still
exists two main challenges: 1) many methods suffer from false positives in their text …

Scene text detection and recognition have been well explored in the past few years. Despite
the progress, efficient and accurate end-to-end spotting of arbitrarily-shaped text remains …