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 …

Linguistic knowledge is of great benefit to scene text recognition. However, how to effectively
model linguistic rules in end-to-end deep networks remains a research challenge. In this …

Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …

The task of image multi-label classification is to accurately recognize multiple objects in an
input image. Most of the recent works need to leverage the label co-occurrence matrix …

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 …

Arbitrary-shaped scene text detection is a challenging task due to the variety of text changes
in font, size, color, and orientation. Most existing regression based methods resort to regress …

As a crucial application in privacy protection, scene text removal (STR) has received
amounts of attention in recent years. However, existing approaches coarsely erasing texts …

Typical text spotters follow the two-stage spotting strategy: detect the precise boundary for a
text instance first and then perform text recognition within the located text region. While such …

The spread of face forgery videos is a serious threat to information credibility, calling for
effective detection algorithms to identify them. Most existing methods have assumed a …

As a basic component in multimedia applications, object detectors are generally trained on a
fixed set of classes that are pre-defined. However, new object classes often emerge after the …