中国科学院计算技术研究所机构知识库

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	Learning-Based Cloud Server Configuration for Energy Minimization Under Reliability Constraint 期刊论文 IEEE TRANSACTIONS ON RELIABILITY, 2024, 卷号: 73, 期号: 1, 页码: 203-215 作者:  Cong, Peijin;  Zhou, Junlong;  Wang, Jiali;  Wu, Zebin;  Hu, Shiyan 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Servers  Cloud computing  Reliability  Energy consumption  Quality of service  Transient analysis  Task analysis  Cloud service  energy efficiency  multiserver  reinforcement learning  reliability
	Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery 期刊论文 NATURE COMMUNICATIONS, 2023, 卷号: 14, 期号: 1, 页码: 13 作者:  Sun, Xian;  Yin, Dongshuo;  Qin, Fei;  Yu, Hongfeng;  Lu, Wanxuan;  Yao, Fanglong;  He, Qibin;  Huang, Xingliang;  Yan, Zhiyuan;  Wang, Peijin;  Deng, Chubo;  Liu, Nayu;  Yang, Yiran;  Liang, Wei;  Wang, Ruiping;  Wang, Cheng;  Yokoya, Naoto;  Haensch, Ronny;  Fu, Kun 收藏  |  浏览/下载：28/0  |  提交时间：2023/12/04
	RingMo: A Remote Sensing Foundation Model With Masked Image Modeling 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 22 作者:  Sun, Xian;  Wang, Peijin;  Lu, Wanxuan;  Zhu, Zicong;  Lu, Xiaonan;  He, Qibin;  Li, Junxi;  Rong, Xuee;  Yang, Zhujun;  Chang, Hao;  He, Qinglin;  Yang, Guang;  Wang, Ruiping;  Lu, Jiwen;  Fu, Kun 收藏  |  浏览/下载：33/0  |  提交时间：2023/12/04 Foundation model  masked image modeling (MIM)  pretraining  remote sensing (RS)  self-supervised  Vision Transformer (ViT)
	FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery 期刊论文 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 116-130 作者:  Sun, Xian;  Wang, Peijin;  Yan, Zhiyuan;  Xu, Feng;  Wang, Ruiping;  Diao, Wenhui;  Chen, Jin;  Li, Jihao;  Feng, Yingchao;  Xu, Tao;  Weinmann, Martin;  Hinz, Stefan;  Wang, Cheng;  Fu, Kun 收藏  |  浏览/下载：26/0  |  提交时间：2022/12/07 Remote sensing images  Fine-grained object detection and recognition  Deep learning  Benchmark dataset  Convolutional neural network (CNN)