Zobrazeno 1 - 10
of 2 382
pro vyhledávání: '"BaiSong An"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Land degradation significantly impacts regional economic development and food security, particularly in arid river basins where soil and water conservation is crucial. Understanding the extent and causes of land degradation is pivotal for ef
Externí odkaz:
https://doaj.org/article/10d3e096784a41dd8729d0af61a6c95a
Hyperspectral images (HSIs) have great potential in various visual tasks due to their rich spectral information. However, obtaining high-resolution hyperspectral images remains challenging due to limitations of physical imaging. Inspired by Kolmogoro
Externí odkaz:
http://arxiv.org/abs/2409.06705
Autor:
Chen, Baisong, Li, Yingzhi, Xie, Qijie, Na, Quanxin, Tao, Min, Wang, Ziming, Zhi, Zihao, Hu, Heming, Li, Xuetong, Qu, Huan, He, Yafang, Hu, Xiaolong, Lo, Guoqiang, Song, Junfeng
Publikováno v:
Laser Photonics Rev 2024, 2301360
Three-dimensional (3D) imaging techniques are facilitating the autonomous vehicles to build intelligent system. Optical phased arrays (OPAs) featured by all solid-state configurations are becoming a promising solution for 3D imaging. However, majorit
Externí odkaz:
http://arxiv.org/abs/2401.04335
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
Large language models(LLMs) exhibit excellent performance across a variety of tasks, but they come with significant computational and storage costs. Quantizing these models is an effective way to alleviate this issue. However, existing methods strugg
Externí odkaz:
http://arxiv.org/abs/2311.01305
Autor:
Wei, Xiaoli, Zhang, Chunxia, Wang, Hongtao, Tan, Chengli, Xiong, Deng, Jiang, Baisong, Zhang, Jiangshe, Kim, Sang-Woon
Accurate interpolation of seismic data is crucial for improving the quality of imaging and interpretation. In recent years, deep learning models such as U-Net and generative adversarial networks have been widely applied to seismic data interpolation.
Externí odkaz:
http://arxiv.org/abs/2307.04226
This paper finds that contrastive learning can produce superior sentence embeddings for pre-trained models but is also vulnerable to backdoor attacks. We present the first backdoor attack framework, BadCSE, for state-of-the-art sentence embeddings un
Externí odkaz:
http://arxiv.org/abs/2210.11082
Federated Recommendation can mitigate the systematical privacy risks of traditional recommendation since it allows the model training and online inferring without centralized user data collection. Most existing works assume that all user devices are
Externí odkaz:
http://arxiv.org/abs/2206.13715
Publikováno v:
In Energy & Buildings 15 November 2024 323
Publikováno v:
In Separation and Purification Technology 11 November 2024 347