| 書目名稱 | Open-Set Text Recognition | | 副標題 | Concepts, Framework, | | 編輯 | Xu-Cheng Yin,Chun Yang,Chang Liu | | 視頻video | http://file.papertrans.cn/702/701908/701908.mp4 | | 概述 | Helps readers to model and measure open-world challenges in applications like document digitization, etc.Introduces a framework for the OSTR, which helps readers to build solutions that strive for an | | 叢書名稱 | SpringerBriefs in Computer Science | | 圖書封面 |  | | 描述 | .In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols.? A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition,possible implementations of each module within?the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. The book concludes by delving int | | 出版日期 | Book 2024 | | 關鍵詞 | Open-set Text Recognition; Open-set Recognition; Zero-shot Learning; Zero-Shot Character Recognition; Si | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-0361-6 | | isbn_softcover | 978-981-97-0360-9 | | isbn_ebook | 978-981-97-0361-6Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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