Invention Application
- Patent Title: Generating Object Proposals Using Deep-Learning Models
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Application No.: US15624643Application Date: 2017-06-15
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Publication No.: US20170364771A1Publication Date: 2017-12-21
- Inventor: Pedro Henrique Oliveira Pinheiro , Ronan Stéfan Collobert , Piotr Dollar
- Applicant: Pedro Henrique Oliveira Pinheiro , Ronan Stéfan Collobert , Piotr Dollar
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06N5/04 ; G06N99/00

Abstract:
In one embodiment, a plurality of patches of an image are processed using a first deep-learning model to detect a plurality of features associated with the first patch of the image. Each patch includes one or more pixels of the image. Using a second deep-learning model, a respective object proposal is generated for each of the plurality of patches of the image. The second deep-learning model takes as input the plurality of detected features associated with the respective patch of the image, and each object proposal includes a prediction as to a location of an object in the patch. Using a third deep-learning model, a respective score is computed for each object proposal generated using the second deep-learning model. The third deep-learning model takes as input the plurality of detected features associated with the respective patch of the image, and the object score may include a likelihood that the patch contains an entire object.
Public/Granted literature
- US10255522B2 Generating object proposals using deep-learning models Public/Granted day:2019-04-09
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