Zobrazeno 1 - 10
of 1 620
pro vyhledávání: '"Wei, Xiu"'
Pre-training plays a vital role in various vision tasks, such as object recognition and detection. Commonly used pre-training methods, which typically rely on randomized approaches like uniform or Gaussian distributions to initialize model parameters
Externí odkaz:
http://arxiv.org/abs/2411.09453
Autor:
Li, Guang-Shuai, Su, Jun, Terashima, Satoru, Zhao, Jian-Wei, Xiao, Er-Xi, Zhang, Ji-Chao, He, Liu-Chun, Guo, Ge, Lin, Wei-Ping, Lin, Wen-Jian, Liu, Chuan-Ye, Lu, Chen-Gui, Mei, Bo, Pang, Dan-Yang, Sun, Ye-Lei, Sun, Zhi-Yu, Wang, Meng, Wang, Feng, Wang, Jing, Wang, Shi-Tao, Wei, Xiu-Lin, Xu, Xiao-Dong, Xu, Jun-Yao, Zhu, Li-Hua, Zheng, Yong, Zhang, Mei-Xue, Zhang, Xue-Heng
Publikováno v:
Physics Letters B 859 (2024) 139143
We report on the first measurement of the elemental fragmentation cross sections (EFCSs) of $^{29-33}\mathrm{Si}$ on a carbon target at $\sim$230~MeV/nucleon. The experimental data covering charge changes of $\Delta Z$ = 1-4 are reproduced well by th
Externí odkaz:
http://arxiv.org/abs/2407.14697
Our work focuses on tackling large-scale fine-grained image retrieval as ranking the images depicting the concept of interests (i.e., the same sub-category labels) highest based on the fine-grained details in the query. It is desirable to alleviate t
Externí odkaz:
http://arxiv.org/abs/2311.12894
Learning fine-grained embeddings from coarse labels is a challenging task due to limited label granularity supervision, i.e., lacking the detailed distinctions required for fine-grained tasks. The task becomes even more demanding when attempting few-
Externí odkaz:
http://arxiv.org/abs/2311.11019
Fine-Grained Image Recognition (FGIR) is a fundamental and challenging task in computer vision and multimedia that plays a crucial role in Intellectual Economy and Industrial Internet applications. However, the absence of a unified open-source softwa
Externí odkaz:
http://arxiv.org/abs/2310.09600
Autor:
Hu, Feiran, Wang, Peng, Li, Yangyang, Duan, Chenlong, Zhu, Zijian, Wang, Fei, Zhang, Faen, Li, Yong, Wei, Xiu-Shen
The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata. This paper presents a method leveraging utilization of both images and metadata. M
Externí odkaz:
http://arxiv.org/abs/2307.09748
Autor:
Wang, Chang-Jian, Guo, Ge, Ong, Hooi Jin, Song, Yu-Nan, Sun, Bao-Hua, Tanihata, Isao, Terashima, Satoru, Wei, Xiu-Lin, Xu, Jun-Yao, Xu, Xiao-Dong, Zhang, Ji-Chao, Zheng, Yong, Zhu, Li-Hua, Cao, Yong, Li, Guang-Shuai, Lu, Chen-Gui, Qi, Hao-Tian, Qin, Yun, Sun, Zhi-Yu, Wan, Lu-Ping, Wang, Kai-Long, Wang, Shi-Tao, Wang, Xin-Xu, Zhang, Mei-Xue, Zhang, Wen-Wen, Zhang, Xiao-Bin, Zhang, Xue-Heng, Zhou, Zi-Cheng
Publikováno v:
Chinese Physics C 47(2023)084001
Charge-changing cross section ($\sigma_{\text{cc}}$) measurements via the transmission method have made important progress recently aiming to determine the charge radii of exotic nuclei. In this work, we report a new $\sigma_{\text{cc}}$ measurement
Externí odkaz:
http://arxiv.org/abs/2306.15275
Autor:
Yao Li, Harald Neidhardt, Huaming Guo, Christiane Nagel, Wen Shao, Chen Yu, Bo Zhao, Dou Chen, Wei Xiu, Yvonne Oelmann
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-13 (2024)
Abstract Little is known about biological processes controlling inorganic phosphate (PO4) in groundwater ecosystems. Here we present analyses of groundwater samples from the Hetao Basin, China that show an increasing contribution of microbial cycling
Externí odkaz:
https://doaj.org/article/6ed17c40652f4a6196fd369af49a92af
Autor:
WEI Xiu-li, HAN Hui-gang, ZHANG Chuan-jin, YANG Zhi-kun, GUO Yu-qiu, ZHANG Zhi-min, LI You-zhi, WANG Shang-ming
Publikováno v:
Feed Research. 2024, Vol. 47 Issue 18, p130-135. 6p.