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Found 2 papers, 1 papers with code
$p$-Poisson surface reconstruction in curl-free flow from point clouds
For efficient training, we develop a variable splitting structure by introducing a gradient of the SDF as an auxiliary variable and impose the $p$-Poisson equation directly on the auxiliary variable as a hard constraint.
A Billion-scale Foundation Model for Remote Sensing Images
Recently, research in the remote sensing field has focused primarily on the pretraining method and the size of the dataset, with limited emphasis on the number of model parameters.
Ranked #1 on
Semantic Segmentation
on LoveDA
(using extra training data)
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