| CPC G06T 11/206 (2013.01) [G06T 3/4046 (2013.01)] | 20 Claims |

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1. A method of machine learning-based map generation comprising:
receiving an encoder output for an image depicting a geographic area, wherein the encoder output comprises an encoding for each tile of a plurality of tiles of the image, and wherein the encoding represents data associated with a location of each tile;
using a machine learning decoder to determine a window over the encoder output comprising a tile of the plurality of tiles and one or more neighboring tiles and to process the encoding associated with the tile and the one or more neighboring tiles in the window to generate a map representation for the location of the tile; and
providing the map representation as an output.
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