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 …

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 …

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 …

Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …

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 …

Scene text detection, an important step of scene text reading systems, has witnessed rapid
development with convolutional neural networks. Nonetheless, two main challenges still …

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 progress especially with the recent development of
convolutional neural networks. However, there still exists two challenges which prevent the …

One fundamental problem in Earth Vision is to accurately find the locations and identify the
categories of the interesting objects in the aerial images, for which oriented bounding boxes …

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 …