Invention Grant
- Patent Title: Optimizations for dynamic object instance detection, segmentation, and structure mapping
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Application No.: US15971997Application Date: 2018-05-04
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Publication No.: US10565729B2Publication Date: 2020-02-18
- 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: G06T7/73
- IPC: G06T7/73 ; G06K9/62 ; G06N5/02 ; G06K9/00 ; G06K9/46 ; G06T7/11 ; G06K9/32

Abstract:
In one embodiment, a method includes a system accessing an image and generating a feature map using a first neural network. The system identifies a plurality of regions of interest in the feature map. A plurality of regional feature maps may be generated for the plurality of regions of interest, respectively. Using a second neural network, the system may detect at least one regional feature map in the plurality of regional feature maps that corresponds to a person depicted in the image, and generate a target region definition associated with a location of the person using the regional feature map. Based on the target region definition associated with the location of the person, a target regional feature map may be generated by sampling the feature map for the image. The system may process the target regional feature map to generate a keypoint mask and an instance segmentation mask.
Public/Granted literature
- US20190171870A1 Optimizations for Dynamic Object Instance Detection, Segmentation, and Structure Mapping Public/Granted day:2019-06-06
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