Invention Grant
- Patent Title: Methods and systems for advanced and augmented training of deep neural networks using synthetic data and innovative generative networks
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Application No.: US16475079Application Date: 2017-04-07
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Publication No.: US11341368B2Publication Date: 2022-05-24
- Inventor: Anbang Yao , Shandong Wang , Wenhua Cheng , Dongqi Cai , Libin Wang , Lin Xu , Ping Hu , Yiwen Guo , Liu Yang , Yuqing Hou , Zhou Su , Yurong Chen
- Applicant: INTEL CORPORATION
- Applicant Address: US CA Santa Clara
- Assignee: INTEL CORPORATION
- Current Assignee: INTEL CORPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Compass IP Law, PC
- International Application: PCT/CN2017/079663 WO 20170407
- International Announcement: WO2018/184187 WO 20181011
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06T1/20 ; G06V10/94

Abstract:
Methods and systems for advanced and augmented training of deep neural networks (DNNs) using synthetic data and innovative generative networks. A method includes training a DNN using synthetic data, training a plurality of DNNs using context data, associating features of the DNNs trained using context data with features of the DNN trained with synthetic data, and generating an augmented DNN using the associated features.
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