Invention Grant
- Patent Title: Optimizations for dynamic object instance detection, segmentation, and structure mapping
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Application No.: US15971930Application Date: 2018-05-04
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Publication No.: US10692243B2Publication Date: 2020-06-23
- Inventor: Peter Vajda , Peizhao Zhang , Fei Yang , Yanghan Wang
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/73 ; G06K9/46 ; G06T7/11 ; G06N3/04 ; G06N3/08 ; G06K9/62 ; G06K9/32 ; G06N5/02

Abstract:
In one embodiment, a system may access an image and generate a feature map for the image using a neural network. The system may identify regions of interest in the feature map. Regional feature maps may be generated for the regions of interest, respectively. Each of the regional feature maps has a first, a second, and a third dimension. The system may generate a first combined regional feature map by combining the regional feature maps. The combined regional feature map has a first, a second, and a third dimension. The system may generate a second combined regional feature map by processing the first combined regional feature map using one or more convolutional layers. The system may generate, for each of the regions of interest, information associated with an object instance based on a portion of the second combined regional feature map associated with that region of interest.
Public/Granted literature
- US20190171903A1 Optimizations for Dynamic Object Instance Detection, Segmentation, and Structure Mapping Public/Granted day:2019-06-06
Information query