Invention Grant
- Patent Title: RGB-D scene labeling with multimodal recurrent neural networks
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Application No.: US15474027Application Date: 2017-03-30
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Publication No.: US10339421B2Publication Date: 2019-07-02
- Inventor: Xue Mei , Danil V. Prokhorov , Haibin Ling
- Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
- Applicant Address: US TX Plano
- Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
- Current Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
- Current Assignee Address: US TX Plano
- Agency: Darrow Mustafa PC
- Agent Christopher G. Darrow
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06N3/08 ; H04N7/18 ; G06T7/90

Abstract:
Described herein are systems and methods for multimodal recurrent network processing. In an embodiment, a system for evaluating multimodal data comprising a multimodal data input and a multimodal processing module is described. The multimodal data input may comprise the multimodal data, the multimodal data may comprise a first modality and a second modality. The multimodal processing module may be configured to receive the multimodal data comprising the first modality and the second modality; evaluate the first modality using a first recursive neural network comprising a first transformation matrix; evaluate the second modality using a second recursive neural network comprising the first transformation matrix; and determine an output based, at least in part, on evaluating the first modality and the second modality.
Public/Granted literature
- US20180285689A1 RGB-D SCENE LABELING WITH MULTIMODAL RECURRENT NEURAL NETWORKS Public/Granted day:2018-10-04
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