Contour based scene text detection methods have rapidly developed recently, but still suffer
from inaccurate front-end contour initialization, multi-stage error accumulation, or deficient …

Scene text spotting, a unified framework between text detection and text recognition, has
made great progress in recent years. Existing methods usually adopt the fully-supervised …

Detecting irregular or arbitrary shape text in natural scene images is a challenging task that
has recently attracted considerable attention from research communities. However, limited …

The use of drones for several real-world applications is increasing exponentially, especially
for the purpose of monitoring, surveillance, security, etc. Most existing scene text detection …

Recognizing text from the nature scene images and videos has been the challenging task of
computer vision and machine learning research community in recent years. These texts are …

Text localization across multiple domains is crucial for applications like autonomous driving
and tracking marathon runners. This work introduces DIPCYT, a novel model that utilizes …

Recently, scene text detection has received significant attention due to its wide applications.
Accurate detection in complex scenes of multiple scales, orientations, and curvature remains …

Scene text detection is crucial across numerous application fields. However, despite the
emphasis on real-time performance in scene text detection, most existing detection models …

Learning with noisy labels is one of the most challenging tasks in semi-supervised learning,
and it poses significant problems in various practical applications. In the network learning …

Scene text image super-resolution (STISR) aims to enhance the resolution of text images
while simultaneously improving their readability by reducing noise, blur, and other …