Zobrazeno 1 - 10
of 2 912
pro vyhledávání: '"Xu Shuang"'
Autor:
XU Shuang, XU Congcong, GUO Tengda, LIN Peijun, LI Fengchun, WANG Jilin, GU Qingyu, LUAN Rijian, ZHANG Yuqiang, LI Zengsheng, YANG Hui, WEI Wei
Publikováno v:
Yankuang ceshi, Vol 41, Iss 2, Pp 251-259 (2022)
BACKGROUND In recent years, the study of rare polymetallic ore tends to be increasingly detailed. As one of the important research methods, electron probe quantitative analysis has made great progress in trace element measurement. During analysis, in
Externí odkaz:
https://doaj.org/article/6466087ddc7f4b26b71e53fc319865b5
Hyperspectral image (HSI) plays a vital role in various fields such as agriculture and environmental monitoring. However, due to the expensive acquisition cost, the number of hyperspectral images is limited, degenerating the performance of downstream
Externí odkaz:
http://arxiv.org/abs/2409.12470
Remote sensing image restoration aims to reconstruct missing or corrupted areas within images. To date, low-rank based models have garnered significant interest in this field. This paper proposes a novel low-rank regularization term, named the Haar n
Externí odkaz:
http://arxiv.org/abs/2407.08509
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art. no. 5528714, 2024
This paper introduces a novel paradigm for hyperspectral image (HSI) denoising, which is termed \textit{pan-denoising}. In a given scene, panchromatic (PAN) images capture similar structures and textures to HSIs but with less noise. This enables the
Externí odkaz:
http://arxiv.org/abs/2407.06064
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
As the field of image generation rapidly advances, traditional diffusion models and those integrated with multimodal large language models (LLMs) still encounter limitations in interpreting complex prompts and preserving image consistency pre and pos
Externí odkaz:
http://arxiv.org/abs/2405.16803
Publikováno v:
Yankuang ceshi, Vol 37, Iss 3, Pp 266-274 (2018)
A systematic study of the phase composition and element occurrence characteristics of tellurides in tellurium-bearing gold deposits will be helpful for the genesis understanding of gold deposits of this type and for prospecting exploration. Telluride
Externí odkaz:
https://doaj.org/article/fe42a8323d874b6ba5c9a53ba97ed789
Publikováno v:
Zhishi guanli luntan, Vol 2, Iss 4, Pp 304-317 (2017)
[Purpose/significance] This paper aims to build a model for benchmarking analysis of two institutions by using ESI and InCites databases. It provides a feasible approach for comprehensive, quantitative and public comparison and analysis of the intern
Externí odkaz:
https://doaj.org/article/bc08207749dd4fb5b716075511bf4a85
Autor:
Chu, Xiangxiang, Qiao, Limeng, Zhang, Xinyu, Xu, Shuang, Wei, Fei, Yang, Yang, Sun, Xiaofei, Hu, Yiming, Lin, Xinyang, Zhang, Bo, Shen, Chunhua
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality
Externí odkaz:
http://arxiv.org/abs/2402.03766
Autor:
Chu, Xiangxiang, Qiao, Limeng, Lin, Xinyang, Xu, Shuang, Yang, Yang, Hu, Yiming, Wei, Fei, Zhang, Xinyu, Zhang, Bo, Wei, Xiaolin, Shen, Chunhua
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices. It is an amalgamation of a myriad of architectural designs and techniques that are mobile-oriented, which comprises a set of language models
Externí odkaz:
http://arxiv.org/abs/2312.16886
Autor:
Bai, Haowen, Zhao, Zixiang, Zhang, Jiangshe, Wu, Yichen, Deng, Lilun, Cui, Yukun, Xu, Shuang, Jiang, Baisong
Image fusion aims to combine information from multiple source images into a single one with more comprehensive informational content. The significant challenges for deep learning-based image fusion algorithms are the lack of a definitive ground truth
Externí odkaz:
http://arxiv.org/abs/2312.07943