Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Shin Dong Kyun"'
Object detection in streaming images is a major step in different detection-based applications, such as object tracking, action recognition, robot navigation, and visual surveillance applications. In mostcases, image quality is noisy and biased, and
Externí odkaz:
http://arxiv.org/abs/1810.10323
Publikováno v:
In Displays September 2018 54:28-33
Publikováno v:
In Journal of Physics and Chemistry of Solids August 2016 95:119-128
Autor:
Shin, Dong-Kyun, Park, Jongwoon
Publikováno v:
In Displays July 2015 38:9-19
Autor:
Shin, Dong-Kyun, Park, Jongwoon
Publikováno v:
In Displays July 2014 35(3):141-146
Publikováno v:
In Transactions of Nonferrous Metals Society of China 2011 21 Supplement 1:s96-s99
Publikováno v:
Cognitive Systems Research. 45:109-123
In this paper, we address the combination of the active learning (AL) and semi-supervised (SSL) learnings, called ASSL, to leverage the strong points of the both learning paradigms for improving the performance of object detection. Considering the pr
Publikováno v:
Multimedia Tools & Applications; Mar2020, Vol. 79 Issue 9/10, p6689-6708, 20p
Publikováno v:
Organic Electronics. Mar2019, Vol. 66, p116-125. 10p.
Publikováno v:
IEEE Transactions on Electron Devices; Feb2019, Vol. 66 Issue 2, p1041-1049, 9p