Scene text recognition is a hot research topic in computer vision. Recently, many recognition
methods based on the encoder-decoder framework have been proposed, and they can …

Nowadays, scene text recognition has attracted more and more attention due to its various
applications. Most state-of-the-art methods adopt an encoder-decoder framework with …

Self-supervised representation learning for visual pre-training has achieved remarkable
success with sample (instance or pixel) discrimination and semantics discovery of instance …

Text-based visual question answering (TextVQA) requires analyzing both the visual contents
and texts in an image to answer a question, which is more practical than general visual …

Due to the large success in object detection and instance segmentation, Mask R-CNN
attracts great attention and is widely adopted as a strong baseline for arbitrary-shaped …

Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-
up segmentation-based methods begin to be mainstream in real-time scene text detection …

Scene text spotting systems which integrate text detection and recognition modules have
witnessed a lot of success in recent years. Existing works mostly follow the framework of …

The research focus of scene text detection and recognition has shifted to arbitrary shape text
in recent years, where the text shape representation is a fundamental problem. An ideal …

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 …

Irregular-shaped texts bring challenges to Scene Text Detection (STD). Although existing
regression-based approaches achieve comparable performances, they fail to cover some …