CPC G06N 3/063 (2013.01) [G06F 18/214 (2023.01); G06F 18/24133 (2023.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01)] | 23 Claims |
1. An apparatus comprising:
a processor to:
analyze one or more backpropagated gradient maps from low resolution image data collected by a low resolution camera;
identify, from the low resolution image data and based on analysis of the one or more backpropagated gradient maps, at least one region of interest;
collect high resolution images from the at least one region of interest using a high resolution camera;
constrain a dropout in a neural network layer of a neural network model in order to remove at least one feature from an input to the neural network layer; and
upload at least a portion of the low resolution image data and the high resolution images to a datacenter for inclusion in the neural network model, wherein an approximation of an original image is re-created, based on the neural network model, using a pre-trained Generative Adversarial Network and used for unsupervised adaptation.
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