Invention Grant
- Patent Title: Image processing via isotonic convolutional neural networks
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Application No.: US17487631Application Date: 2021-09-28
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Publication No.: US11922291B2Publication Date: 2024-03-05
- Inventor: Asher Trockman , Jeremy Kolter , Devin T. Willmott , Filipe J. Cabrita Condessa
- Applicant: Robert Bosch GmbH , Carnegie Mellon University
- Applicant Address: DE PA Stuttgart
- Assignee: Robert Bosch GmbH
- Current Assignee: Robert Bosch GmbH
- Current Assignee Address: DE;
- Agency: Dickinson Wright PLLC
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F18/2431 ; G06N3/047 ; G06T7/11

Abstract:
A convolutional neural network system includes 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.
Public/Granted literature
- US20230096021A1 IMAGE PROCESSING VIA ISOTONIC CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2023-03-30
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