Optical Character Recognition (OCR) systems have been widely used in various of application scenarios.
Recently, research efforts have been concentrated on revealing how pre-trained model makes a difference in neural network performance.
Moreover, Hierarchical-Split block is very flexible and efficient, which provides a large space of potential network architectures for different applications.
Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17. 9M images are used).
We present an object detection framework based on PaddlePaddle.
In this paper we establish the spectrum of the magnetic Laplacian, as a set of real numbers with multiplicities, on the Sierpinski gasket graph ($SG$) where the magnetic fluxes equal $\alpha$ through the upright triangles, and $\beta$ through the downright triangles.
Mathematical Physics Mesoscale and Nanoscale Physics Combinatorics Mathematical Physics Probability Spectral Theory 05C50, 11C20, 32M25, 37F50, 47A10, 58J50, 82D40