Recent text detection frameworks require several handcrafted components such as anchor
generation, non-maximum suppression (NMS), or multiple processing stages (eg label …

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 …

Arbitrary-shaped text detection is a challenging task due to the complex geometric layouts of
texts such as large aspect ratios, various scales, random rotations and curve shapes. Most …

Curved text detection is a difficult problem that has not been addressed sufficiently. To
highlight the difficulties in reading curved text in a real environment, we constructed a curved …

Arbitrary-shaped text detection is a challenging task since curved texts in the wild are of the
complex geometric layouts. Existing mainstream methods follow the instance segmentation …

Recently fast arbitrary-shaped text detection has become an attractive research topic.
However, most existing methods are non-real-time, which may fall short in intelligent …

Text detection/localization, as an important task in computer vision, has witnessed
substantial advancements in methodology and performance with convolutional neural …

In arbitrary shape text detection, locating accurate text boundaries is challenging and non-
trivial. Existing methods often suffer from indirect text boundary modeling or complex post …

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 …

In this paper, a new relation network based approach to curved text detection is proposed by
formulating it as a visual relationship detection problem. The key idea is to decompose …