Zobrazeno 1 - 10
of 646
pro vyhledávání: '"Zhao Junhong"'
Publikováno v:
MATEC Web of Conferences, Vol 355, p 03004 (2022)
Image inpainting plays an important role in restoration of cultural relics, pictures beautification. Criminisi algorithm creates good results in large-area inpainting. However, it does still have some deficiencies such as over-extending. In this pape
Externí odkaz:
https://doaj.org/article/11e0f826242a47f997bd9f4eaefc78c5
Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environments, while valuable, falls short in understanding plant growth under
Externí odkaz:
http://arxiv.org/abs/2403.15981
Publikováno v:
MATEC Web of Conferences, Vol 327, p 02004 (2020)
CNN is an artificial neural network that can automatically extract features with relatively few parameters, which is the advantage of CNN in image classification tasks. The purpose of this paper is to propose a new algorithm to improve the classifica
Externí odkaz:
https://doaj.org/article/aa1d9c98adf749daa523f242aaadc5e9
Publikováno v:
IVCNZ 2023
The aquaculture sector in New Zealand is experiencing rapid expansion, with a particular emphasis on mussel exports. As the demands of mussel farming operations continue to evolve, the integration of artificial intelligence and computer vision techni
Externí odkaz:
http://arxiv.org/abs/2308.09238
It is in high demand to generate facial animation with high realism, but it remains a challenging task. Existing approaches of speech-driven facial animation can produce satisfactory mouth movement and lip synchronization, but show weakness in dramat
Externí odkaz:
http://arxiv.org/abs/2301.02008
360{\deg} images and videos have become an economic and popular way to provide VR experiences using real-world content. However, the manipulation of the stereo panoramic content remains less explored. In this paper, we focus on the 360{\deg} image co
Externí odkaz:
http://arxiv.org/abs/2212.10062
We present a deep neural network for removing undesirable shading features from an unconstrained portrait image, recovering the underlying texture. Our training scheme incorporates three regularization strategies: masked loss, to emphasize high-frequ
Externí odkaz:
http://arxiv.org/abs/2203.12088
Language identification is the task of automatically determining the identity of a language conveyed by a spoken segment. It has a profound impact on the multilingual interoperability of an intelligent speech system. Despite language identification a
Externí odkaz:
http://arxiv.org/abs/2203.00328
Publikováno v:
In Journal of the Franklin Institute June 2024 361(9)
Autor:
Guo, Jinju, Han, Xin, Wu, Tingquan, Wang, Rui, Zhao, Junhong, Wang, Rufang, Tan, Delong, Yan, Shijuan, Gao, Jie, Huang, Wenjie, Zhang, Huiyao, Zhang, Changyuan
Publikováno v:
In Plant Physiology and Biochemistry March 2024 208