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pro vyhledávání: '"Rozi, Erik"'
Autor:
Cong, Yezhen, Khanna, Samar, Meng, Chenlin, Liu, Patrick, Rozi, Erik, He, Yutong, Burke, Marshall, Lobell, David B., Ermon, Stefano
Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery presents significant opportunities as unlabelled data is plentiful and the
Externí odkaz:
http://arxiv.org/abs/2207.08051
Autor:
Yeh, Christopher, Meng, Chenlin, Wang, Sherrie, Driscoll, Anne, Rozi, Erik, Liu, Patrick, Lee, Jihyeon, Burke, Marshall, Lobell, David B., Ermon, Stefano
Progress toward the United Nations Sustainable Development Goals (SDGs) has been hindered by a lack of data on key environmental and socioeconomic indicators, which historically have come from ground surveys with sparse temporal and spatial coverage.
Externí odkaz:
http://arxiv.org/abs/2111.04724