SW-LCM: A Scalable and Weakly-supervised Land Cover Mapping Method on a New Sunway Supercomputer-Reference-Cited by-同舟云学术

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SW-LCM: A Scalable and Weakly-supervised Land Cover Mapping Method on a New Sunway Supercomputer

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Zhao Yi¹,Zheng Juepeng¹,Fu Haohuan¹,Wu Wenzhao²,Gao Jie³,Chen Mengxuan¹,Zhang Jinxiao¹,Zhang Lixian¹,Dong Runmin¹,Du Zhenrong¹,Liu Sha³,Liu Xin³,Zhang Shaoqing⁴,Yu Le¹

Affiliation:

1. Tsinghua University,Beijing,China

2. National Supercomputing Center in Wuxi,Wuxi,China

3. National Research Center of Parallel Computer Engineering and Technology,Beijing,China

4. Qingdao Pilot National Laboratory for Marine Science and Technology,Qingdao,China

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10177277/10177383/10177424.pdf?arnumber=10177424

Reference28 articles.

1. Exascale Deep Learning for Climate Analytics

2. Extremely large minibatch sgd: Training resnet-50 on imagenet in 15 minutes;akiba,2017

3. Land cover mapping of large areas from satellites: Status and research priorities

5. Large-Scale Hierarchical k-means for Heterogeneous Many-Core Supercomputers

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SWattention: designing fast and memory-efficient attention for a new Sunway Supercomputer;The Journal of Supercomputing;2024-03-11

2. Dual Data- and Knowledge-Driven Land Cover Mapping Framework for Monitoring Annual and Near-Real-Time Changes;IEEE Transactions on Geoscience and Remote Sensing;2024

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