Invention Grant
- Patent Title: Object recognition and description using multimodal recurrent neural network
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Application No.: US16205768Application Date: 2018-11-30
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Publication No.: US10970603B2Publication Date: 2021-04-06
- Inventor: Hongfei Li , Jinfeng Yi , Jing Xia
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent Samuel A. Waldbaum
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08

Abstract:
An embodiment of the invention may include a method, computer program product and computer system for image identification and classification. The method, computer program product and computer system may include a computing device which may receive one or more images of a first object from at least two angles linguistic data associated with the first object. The computing device may input the one or more images of the first object into one or more first neural networks and the linguistic data of the first object into one or more second neural networks. The computing device may combine the output of the one or more first neural networks and the one or more second neural networks and generate an identification model based on the combined output of the one or more first neural networks and the one or more second neural networks.
Public/Granted literature
- US20200175344A1 OBJECT RECOGNITION AND DESCRIPTION USING MULTIMODAL RECURRENT NEURAL NETWORK Public/Granted day:2020-06-04
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