- Patent Title: System and method for generation of unseen composite data objects
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Application No.: US16826214Application Date: 2020-03-21
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Publication No.: US11244202B2Publication Date: 2022-02-08
- Inventor: Megha Nawhal , Mengyao Zhai , Leonid Sigal , Gregory Mori , Andreas Steffen Michael Lehrmann
- Applicant: ROYAL BANK OF CANADA
- Applicant Address: CA Toronto
- Assignee: ROYAL BANK OF CANADA
- Current Assignee: ROYAL BANK OF CANADA
- Current Assignee Address: CA Toronto
- Agency: Norton Rose Fulbright Canada LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
A computer implemented system for generating one or more data structures is described, the one or more data structures representing an unseen composition based on a first category and a second category observed individually in a training data set. During training of a generator, a proposed framework utilizes at least one of the following discriminators—three pixel-centric discriminators, namely, frame discriminator, gradient discriminator, video discriminator; and one object-centric relational discriminator. The three pixel-centric discriminators ensure spatial and temporal consistency across the frames, and the relational discriminator leverages spatio-temporal scene graphs to reason over the object layouts in videos ensuring the right interactions among objects.
Public/Granted literature
- US20200302231A1 SYSTEM AND METHOD FOR GENERATION OF UNSEEN COMPOSITE DATA OBJECTS Public/Granted day:2020-09-24
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