基于半监督学习和深度特征相似度测量的性能提升错误标记校正

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Journal of Imaging Science and Technology Pub Date : 2023-11-01 DOI:10.2352/j.imagingsci.technol.2023.67.6.060501

Chi-Chia Sun, Jing. Guo, Jheng-Han Lin, Ting-Yu Chang

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Performance Boosting Mislabels Correction with Semi-Supervised Learning and Deep Feature Similarity Measurements

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.