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Benchmarking spatial clustering methods with spatially resolved transcriptomics data 期刊论文
NATURE METHODS, 2024, 页码: 25
作者:  Yuan, Zhiyuan;  Zhao, Fangyuan;  Lin, Senlin;  Zhao, Yu;  Yao, Jianhua;  Cui, Yan;  Zhang, Xiao-Yong;  Zhao, Yi
收藏  |  浏览/下载:14/0  |  提交时间:2024/05/20
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
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)