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Found 4 papers, 4 papers with code
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Hurricanes and coastal floods are among the most disastrous natural hazards.
Implicit neural representation for change detection
We outperform the previous methods by a margin of 10% in the intersection over union metric.
Optimal Transport for Change Detection on LiDAR Point Clouds
The method is based on unbalanced optimal transport and can be generalised to any change detection problem with LiDAR data.
Scale dependant layer for self-supervised nuclei encoding
Recent developments in self-supervised learning give us the possibility to further reduce human intervention in multi-step pipelines where the focus evolves around particular objects of interest.
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