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CoordConv works by giving convolution access to its own input coordinates through the use of extra coordinate channelsLiu et al., 2018.
With remote sensing imagery, we also have access to the spatial resolution of the raster, which could be included as an input layer. Including prior knowledge into the model should improve generalization when training on multiple spatial resolution datasets.
The text was updated successfully, but these errors were encountered:
CoordConv works
by giving convolution access to its own input coordinates through the use of extra coordinate channels
Liu et al., 2018.With remote sensing imagery, we also have access to the spatial resolution of the raster, which could be included as an input layer. Including prior knowledge into the model should improve generalization when training on multiple spatial resolution datasets.
The text was updated successfully, but these errors were encountered: