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Satmae: Pre-training transformers for temporal and multi-spectral satellite imagery
Unsupervised pre-training methods for large vision models have shown to enhance
performance on downstream supervised tasks. Develo** similar techniques for satellite …
performance on downstream supervised tasks. Develo** similar techniques for satellite …
[HTML][HTML] China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super …
Large-scale and multi-annual maps of building rooftop area (BRA) are crucial for addressing
policy decisions and sustainable development. In addition, as a fine-grained indicator of …
policy decisions and sustainable development. In addition, as a fine-grained indicator of …
CBRA: The first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with Super-resolution Segmentation from …
Large-scale and multi-annual maps of building rooftop area (BRA) are crucial for addressing
policy decisions and sustainable development. In addition, as a fine-grained indicator of …
policy decisions and sustainable development. In addition, as a fine-grained indicator of …
MMSRNet: Pathological image super-resolution by multi-task and multi-scale learning
X Wu, Z Chen, C Peng, X Ye - Biomedical Signal Processing and Control, 2023 - Elsevier
Pathological diagnosis is the gold standard for disease assessment in clinical practice. It is
conducted by inspecting the specimen at the microscopical level. Therefore, a very high …
conducted by inspecting the specimen at the microscopical level. Therefore, a very high …