all AI news
REZCR: A Zero-shot Character Recognition Method via Radical Extraction. (arXiv:2207.05842v1 [cs.CV])
July 14, 2022, 1:12 a.m. | Xiaolei Diao, Daqian Shi, Hao Tang, Lei Wu, Yanzeng Li, Hao Xu
cs.CV updates on arXiv.org arxiv.org
The long-tail effect is a common issue that limits the performance of deep
learning models on real-world datasets. Character image dataset development is
also affected by such unbalanced data distribution due to differences in
character usage frequency. Thus, current character recognition methods are
limited when applying to real-world datasets, in particular to the character
categories in the tail which are lacking training samples, e.g., uncommon
characters, or characters from historical documents. In this paper, we propose
a zero-shot character recognition …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Engineer
@ Parker | New York City
Sr. Data Analyst | Home Solutions
@ Three Ships | Raleigh or Charlotte, NC