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 …
Deep learning approaches to scene text detection: a comprehensive review
In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …
success of deep learning models. Applications of computer vision have emerged and got …
Real-time scene text detection with differentiable binarization and adaptive scale fusion
Recently, segmentation-based scene text detection methods have drawn extensive attention
in the scene text detection field, because of their superiority in detecting the text instances of …
in the scene text detection field, because of their superiority in detecting the text instances of …
Ocr-free document understanding transformer
Understanding document images (eg, invoices) is a core but challenging task since it
requires complex functions such as reading text and a holistic understanding of the …
requires complex functions such as reading text and a holistic understanding of the …
Dynamic anchor learning for arbitrary-oriented object detection
Arbitrary-oriented objects widely appear in natural scenes, aerial photographs, remote
sensing images, etc., and thus arbitrary-oriented object detection has received considerable …
sensing images, etc., and thus arbitrary-oriented object detection has received considerable …
Fourier contour embedding for arbitrary-shaped text detection
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 …
instance representation that allows networks to learn diverse text geometry variances. Most …
Real-time scene text detection with differentiable binarization
Recently, segmentation-based methods are quite popular in scene text detection, as the
segmentation results can more accurately describe scene text of various shapes such as …
segmentation results can more accurately describe scene text of various shapes such as …
R3det: Refined single-stage detector with feature refinement for rotating object
Rotation detection is a challenging task due to the difficulties of locating the multi-angle
objects and separating them effectively from the background. Though considerable progress …
objects and separating them effectively from the background. Though considerable progress …
Efficient and accurate arbitrary-shaped text detection with pixel aggregation network
Scene text detection, an important step of scene text reading systems, has witnessed rapid
development with convolutional neural networks. Nonetheless, two main challenges still …
development with convolutional neural networks. Nonetheless, two main challenges still …
Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition
In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of
10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about …
10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about …