Zobrazeno 1 - 10
of 548
pro vyhledávání: '"Fang Yuxin"'
Publikováno v:
BMC Ophthalmology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background To compare the clinical outcomes of posterior chamber phakic intraocular lens (pIOL) implantation for non-pathological myopia and pathological myopia. Methods This retrospective case series study which were conducted in Beijing To
Externí odkaz:
https://doaj.org/article/96a0ed7c4a3b422d9bfe6e2189ea5f0e
Publikováno v:
Jixie chuandong, Vol 47, Pp 117-125 (2023)
Asymmetric polymer gears are used in planetary gear transmission system to cater for the design requirements of compact and lightweight mechanical structure. In order to study the transient elastohydrodynamic lubrication characteristics of the intern
Externí odkaz:
https://doaj.org/article/7b52fb8bb8da48ee867123b29fa71561
Contrastive language-image pre-training, CLIP for short, has gained increasing attention for its potential in various scenarios. In this paper, we propose EVA-CLIP, a series of models that significantly improve the efficiency and effectiveness of CLI
Externí odkaz:
http://arxiv.org/abs/2303.15389
Publikováno v:
Image and Vision Computing. Volume 149, September 2024, 105171
We launch EVA-02, a next-generation Transformer-based visual representation pre-trained to reconstruct strong and robust language-aligned vision features via masked image modeling. With an updated plain Transformer architecture as well as extensive p
Externí odkaz:
http://arxiv.org/abs/2303.11331
Autor:
Fang, Yuxin, Wang, Wen, Xie, Binhui, Sun, Quan, Wu, Ledell, Wang, Xinggang, Huang, Tiejun, Wang, Xinlong, Cao, Yue
We launch EVA, a vision-centric foundation model to explore the limits of visual representation at scale using only publicly accessible data. EVA is a vanilla ViT pre-trained to reconstruct the masked out image-text aligned vision features conditione
Externí odkaz:
http://arxiv.org/abs/2211.07636
Autor:
Yang, Shusheng, Wang, Xinggang, Li, Yu, Fang, Yuxin, Fang, Jiemin, Liu, Wenyu, Zhao, Xun, Shan, Ying
Recently vision transformer has achieved tremendous success on image-level visual recognition tasks. To effectively and efficiently model the crucial temporal information within a video clip, we propose a Temporally Efficient Vision Transformer (TeVi
Externí odkaz:
http://arxiv.org/abs/2204.08412
We present an approach to efficiently and effectively adapt a masked image modeling (MIM) pre-trained vanilla Vision Transformer (ViT) for object detection, which is based on our two novel observations: (i) A MIM pre-trained vanilla ViT encoder can w
Externí odkaz:
http://arxiv.org/abs/2204.02964
Emerging electrochemical biosensors for lung cancer-associated protein biomarker and miRNA detection
Autor:
An, Jiaying, Zhang, Miao, Fu, Yu, Zhang, Qingxiang, Si, Yuxin, Zhang, Youlin, Fang, Yuxin, Zhang, Di
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 3
Publikováno v:
In Engineering Analysis with Boundary Elements November 2024 168
Autor:
Wang, Xueqi, Zhu, Yuzhuo, Cheng, Zhaoming, Zhang, Chuanjun, Liao, Yumeng, Liu, Boshi, Zhang, Di, Li, Zheng, Fang, Yuxin
Publikováno v:
In Acta Biomaterialia 15 October 2024 188:48-64