Invention Grant
- Patent Title: Human parsing techniques utilizing neural network architectures
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Application No.: US16656241Application Date: 2019-10-17
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Publication No.: US11410449B2Publication Date: 2022-08-09
- Inventor: Wenguan Wang , Jianbing Shen , Zhijie Zhang , Ling Shao
- Applicant: Inception Institute of Artificial Intelligence, Ltd.
- Applicant Address: AE Abu Dhabi
- Assignee: Inception Institute of Artificial Intelligence, Ltd.
- Current Assignee: Inception Institute of Artificial Intelligence, Ltd.
- Current Assignee Address: AE Abu Dhabi
- Agency: Bryan Cave Leighton Paisner LLP
- Main IPC: G06V40/10
- IPC: G06V40/10 ; G06N3/04 ; G06Q50/00 ; G06K9/62 ; G06N5/04 ; G06V40/16

Abstract:
This disclosure relates to improved techniques for performing human parsing functions using neural network architectures. The neural network architecture can model human objects in images using a hierarchal graph of interconnected nodes that correspond to anatomical features at various levels. Multi-level inference information can be generated for each of the nodes using separate inference processes. The multi-level inference information for each node can be combined or fused to generate final predictions for each of the nodes. Parsing results may be generated based on the final predictions.
Public/Granted literature
- US20210117662A1 HUMAN PARSING TECHNIQUES UTILIZING NEURAL NETWORK ARCHITECTURES Public/Granted day:2021-04-22
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