Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yongcheng Cui"'
Publikováno v:
IEEE Access, Vol 12, Pp 95106-95117 (2024)
Considering steel as one of the most widely utilized materials, the detection of defects on its surface has always been a paramount area of research. Traditional target detection algorithms often face challenges such as low detection accuracy, missed
Externí odkaz:
https://doaj.org/article/506c8fadd298422f852307990ce6abfb
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 23:1673-1683
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 76 Issue 2, p1385-1408, 24p
Publikováno v:
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO).
Publikováno v:
Journal of Non-Crystalline Solids. 607:122116
Publikováno v:
Neural Computing and Applications. 32:14613-14622
Retail products belonging to the same category usually have extremely similar appearance characteristics such as colors, shapes, and sizes, which cannot be distinguished by conventional classification methods. Currently, the most effective way to sol
Autor:
Yongcheng Cui, Wenyong Wang
Publikováno v:
2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
In today's society, even though the technology is so developed, the coloring of computer images has remained at the manual stage. As a carrier of human culture and art, film has existed in our history for hundred years. With the development of scienc