Patent ID: 11922291
Assignee: CARNEGIE MELLON UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A convolutional neural network system comprising:
a sensor; and
a controller, wherein the controller is configured to
receive an image from the sensor,
divide the image into patches, each patch of size p,
extract, via a first convolutional layer, a feature map having a number of channels based on a feature detector of size p, wherein the feature detector has a stride equal to size p,
refine the feature map by alternatingly applying depth-wise convolutional layers and point-wise convolutional layers to obtain a refined feature map, wherein the number of channels in the feature map and the size of the feature map remains constant throughout all operations in the refinement; and
output the refined feature map.