Invention Grant
- Patent Title: Deep neural network architecture for image segmentation
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Application No.: US16171814Application Date: 2018-10-26
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Publication No.: US11600006B2Publication Date: 2023-03-07
- Inventor: Souham Biswas , Sanjay Kumar Boddhu
- Applicant: HERE Global B.V.
- Applicant Address: NL Eindhoven
- Assignee: HERE Global B.V.
- Current Assignee: HERE Global B.V.
- Current Assignee Address: NL Eindhoven
- Agency: Lempia Summerfield Katz LLC
- Main IPC: G06T7/187
- IPC: G06T7/187 ; G06N5/04 ; G05D1/02 ; G06N3/04 ; G06V10/26 ; G06N5/046

Abstract:
An apparatus and method for encoding objects in a camera-captured image with a deep neural network pipeline including multiple convolutional neural networks or convolutional layers. After identifying at least a portion of the camera-capture image, a first convolutional layer is applied to the at least the portion of the camera-captured image and multiple subregion representations are pooled from the output of the first convolutional layer. One or more additional convolutions are performed. At least one deconvolution is performed and concatenated with the output of one or more convolutions. One or more final convolutions are performed. The at least the portion of the camera-captured image is classified as an object category in response to an output of the one or more final convolutions.
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