Zobrazeno 1 - 10
of 1 058
pro vyhledávání: '"Won Jo"'
Publikováno v:
IEEE Access, Vol 12, Pp 118707-118716 (2024)
Recent advances in artificial intelligence undeniably depend on vast amounts of high-quality data. However, a persistent global challenge is the restricted budgets allocated for data labeling. To address this, active learning emerges as a prominent a
Externí odkaz:
https://doaj.org/article/2e1c187b291344d68f4816641b985ddb
Autor:
Won Jo, Geuntaek Lim, Yujin Hwang, Gwangjin Lee, Joonsoo Kim, Joungil Yun, Jiyoung Jung, Yukyung Choi
Publikováno v:
IEEE Access, Vol 11, Pp 28466-28478 (2023)
With the growth of the video streaming industry, video retrieval and video alignment are facing high levels of demand. Several studies have demonstrated the feasibility of these methods for various problems related to video retrieval and alignment in
Externí odkaz:
https://doaj.org/article/5d70b396ca784a4b8f3ab3a9c6e47e43
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Highly efficient adsorbent was prepared for the removal of carbofuran and imidacloprid pesticides from wastewater. The silica monolith anchored graphene oxide composite was synthesized by the modified Fischer esterification protocol. The com
Externí odkaz:
https://doaj.org/article/784ceb9dfe3848278496d98e4a52c03b
Publikováno v:
IEEE Access, Vol 10, Pp 38973-38981 (2022)
As the demand for large-scale video analysis increases, video retrieval research is also becoming more active. In 2014, ISO/IEC MPEG began standardizing compact descriptors for video analysis, known as CDVA, and it is now adopted as a standard. Howev
Externí odkaz:
https://doaj.org/article/2c82171cbb0042419b3e862d01289290
Publikováno v:
Sensors, Vol 23, Iss 1, p 513 (2023)
Customer demands for product search are growing as a result of the recent growth of the e-commerce market. According to this trend, studies on object-centric retrieval using product images have emerged, but it is difficult to respond to complex user-
Externí odkaz:
https://doaj.org/article/0347e29e2924419cbc5778944c16f9d2
Autor:
Hyeongjun Kim, Taejoo Kim, Won Jo, Jiwon Kim, Jeongmin Shin, Daechan Han, Yujin Hwang, Yukyung Choi
Publikováno v:
Sensors, Vol 22, Iss 20, p 7953 (2022)
In this paper, multispectral pedestrian detection is mainly discussed, which can contribute to assigning human-aware properties to automated forklifts to prevent accidents, such as collisions, at an early stage. Since there was no multispectral pedes
Externí odkaz:
https://doaj.org/article/30b4a265ce0b4b04beee5816e212e158
Autor:
Kim, Woo-Hyun, Choi, Won-Jo, Kim, Jeong-Eun, Choi, Joonho, Hong, Yong-Deok, Nam, Jin, Park, Won-Seok, Shim, Soon-Mi
Publikováno v:
In Current Research in Pharmacology and Drug Discovery 2023 5
Akademický článek
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This paper aims at rapid deployment of the state-of-the-art deep neural networks (DNNs) to energy efficient accelerators without time-consuming fine tuning or the availability of the full datasets. Converting DNNs in full precision to limited precisi
Externí odkaz:
http://arxiv.org/abs/1810.05488
Akademický článek
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