论文标题

基于深度学习的Kuzushiji认可的调查

Survey on Deep Learning-based Kuzushiji Recognition

论文作者

Ueki, Kazuya, Kojima, Tomoka

论文摘要

由于在2012年图像分类竞赛中证明的深度学习方法的压倒性准确性,深度学习已成功地应用于其他各种任务。通过使用深度学习,已经成为一种用于转录历史文档的日本草书脚本Kuzushiji的高精度检测和认可。近年来,已经举行了有关Kuzushiji认可的比赛,许多研究人员提出了各种认可方法。这项研究研究了使用深度学习识别Kuzushiji识别的最新研究趋势,当前问题和未来的前景。

Owing to the overwhelming accuracy of the deep learning method demonstrated at the 2012 image classification competition, deep learning has been successfully applied to a variety of other tasks. The high-precision detection and recognition of Kuzushiji, a Japanese cursive script used for transcribing historical documents, has been made possible through the use of deep learning. In recent years, competitions on Kuzushiji recognition have been held, and many researchers have proposed various recognition methods. This study examines recent research trends, current problems, and future prospects in Kuzushiji recognition using deep learning.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源