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Deep learning is responsible for unprecedented accuracy in nearly every area of computer science. Which deep learning models, layer types, and loss functions should you be using for OCR?If you've ever found yourself struggling to apply OCR to a project, or if you're simply interested in learn...
intro: “propose an architecture consisting of a character sequence CNN and an N-gram encoding CNN which act on an input image in parallel and whose outputs are utilized along with a CRF model to recognize the text content present within the image.” arxiv: http://arxiv.org/abs/1412.5903 ...
Image Processing is a domain that is ever so steadily forming the integral core research area within the engineering and computer science disciplines. There are three different steps which are followed in a general Image Processing scenario. i.e., acquiring the image using an optical scanner or ...
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance arxiv: https://arxiv.org/abs/1611.06159 Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading ...
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Testimonials The Shenzhen municipal government and Huawei jointly proposed a five-year plan for the Shenzhen Intelligent Twins, a grand project that will power Shenzhen's ambition to become one of the smartest cities in the world. By 2025, Shenzhen Intelligent Twins will ha...
Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia Walid El-Shafai Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt ...
עיבוד סיפרתי של תמונות: תמונה ספרתית25 היסטוגרמה Frequency counting of gray levels Frequency Gray-Level In the limit of continuous intensities: a continuous probability distribution p(g) ...
A dynamic development of artificial intelligence methods, particularly utilizing deep learning methods, may be observed in many areas of science and industry. Recently, an interesting combination of transfer learning and federated learning has been proposed [4], utilizing the voting scheme to fine-tune...