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Scene text detection and recognition: The deep learning era
With the rise and development of deep learning, computer vision has been tremendously
transformed and reshaped. As an important research area in computer vision, scene text …
transformed and reshaped. As an important research area in computer vision, scene text …
Text recognition in the wild: A survey
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 …
information carried by text is important in a wide range of vision-based application …
Character region awareness for text detection
Scene text detection methods based on neural networks have emerged recently and have
shown promising results. Previous methods trained with rigid word-level bounding boxes …
shown promising results. Previous methods trained with rigid word-level bounding boxes …
Textsnake: A flexible representation for detecting text of arbitrary shapes
Driven by deep neural networks and large scale datasets, scene text detection methods
have progressed substantially over the past years, continuously refreshing the performance …
have progressed substantially over the past years, continuously refreshing the performance …
Rosetta: Large scale system for text detection and recognition in images
In this paper we present a deployed, scalable optical character recognition (OCR) system,
which we call Rosetta, designed to process images uploaded daily at Facebook scale …
which we call Rosetta, designed to process images uploaded daily at Facebook scale …
Seglink++: Detecting dense and arbitrary-shaped scene text by instance-aware component grou**
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 …
detection. Yet, they usually have difficulty in handling curved and dense texts, which are …
Textmountain: Accurate scene text detection via instance segmentation
In this paper, we propose a novel scene text detection method named TextMountain. The
key idea of TextMountain is making full use of border-center information. Different from …
key idea of TextMountain is making full use of border-center information. Different from …
Multi-scale multi-task fcn for semantic page segmentation and table detection
Page segmentation and table detection play an important role in understanding the structure
of documents. We present a page segmentation algorithm that incorporates state-of-the-art …
of documents. We present a page segmentation algorithm that incorporates state-of-the-art …
A survey of deep learning approaches for ocr and document understanding
Documents are a core part of many businesses in many fields such as law, finance, and
technology among others. Automatic understanding of documents such as invoices …
technology among others. Automatic understanding of documents such as invoices …