CPC G06F 18/214 (2023.01) [G06F 16/24578 (2019.01); G06F 16/54 (2019.01); G06F 16/56 (2019.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06F 18/213 (2023.01); G06F 18/2113 (2023.01); G06N 3/08 (2013.01); G06T 7/74 (2017.01); G06T 11/00 (2013.01); G06V 10/751 (2022.01); G06Q 30/0603 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20084 (2013.01)] | 20 Claims |
9. A system comprising:
at least one processor; and
non-transitory computer-readable memory storing instructions that, when executed by the at least one processor, are effective to:
receive a selection of a first location of interest on a first image data representing at least one object;
generate, by a first machine learning model, a feature map representing the first image data, wherein the feature map comprises global representation data representing the at least one object;
generate a reduced feature map based at least in part on a mapping of the first location of interest to the feature map, wherein the reduced feature map comprises the global representation data and local representation data representing the first image data at the first location of interest; and
determine a second image depicting at least a second object based at least in part on the reduced feature map.
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