CPC G06T 15/00 (2013.01) [G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06T 15/04 (2013.01); G06T 15/20 (2013.01); G06T 15/50 (2013.01); G06V 10/7747 (2022.01); G06V 10/82 (2022.01); G06N 3/04 (2013.01); G06N 3/084 (2013.01); G06T 2210/12 (2013.01); G06V 2201/07 (2022.01)] | 22 Claims |
1. A processor, comprising:
one or more processing units to receive, using a neural network model, an input image comprising at least one object of interest and an additional object, wherein the neural network is trained to ignore the additional object and to produce task-specific output data corresponding to the object of interest by using a training dataset that includes synthetic input images rendered according to rendering parameters that define visibility of a ground plane in a three-dimensional (3D) scene, and at least one of:
one or more texture maps applied to the object of interest and the additional object, or
one or more colors of the object of interest and the additional object.
|