The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

Irregular text is widely used. However, it is considerably difficult to recognize because of its
various shapes and distorted patterns. In this paper, we thus propose a multi-object rectified …

In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for
detecting arbitrary-oriented texts in natural scene images. The framework is based on Faster …

Arbitrary shape text detection is a challenging task due to the high variety and complexity of
scenes texts. In this paper, we propose a novel unified relational reasoning graph network …

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 …

Scene text detection attracts much attention in computer vision, because it can be widely
used in many applications such as real-time text translation, automatic information entry …

Recent deep learning models have demonstrated strong capabilities for classifying text and
non-text components in natural images. They extract a high-level feature globally computed …

Supervised object detection and semantic segmentation require object or even pixel level
annotations. When there exist image level labels only, it is challenging for weakly …

State-of-the-art methods have achieved impressive performances on multi-oriented text
detection. Yet, they usually have difficulty in handling curved and dense texts, which are …

Refinement mappings are used to prove that a lower-level specification correctly implements
a higher-level one. We consider specifications consisting of a state machine (which may be …