Invention Grant
- Patent Title: Multiscale feature representations for object recognition and detection
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Application No.: US16020339Application Date: 2018-06-27
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Publication No.: US11651206B2Publication Date: 2023-05-16
- Inventor: Quanfu Fan , Richard Chen
- 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
- Agency: Cantor Colburn LLP
- Agent Stosch Sabo
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N20/20 ; G06N3/045 ; G06V10/764 ; G06V10/82 ; G06F7/14 ; G06V30/24 ; G06V10/80 ; G06F18/21 ; G06F18/25 ; G06V10/44 ; G06V20/00

Abstract:
Embodiments of the present invention are directed to a computer-implemented method for multiscale representation of input data. A non-limiting example of the computer-implemented method includes a processor receiving an original input. The processor downsamples the original input into a downscaled input. The processor runs a first convolutional neural network (“CNN”) on the downscaled input. The processor runs a second CNN on the original input, where the second CNN has fewer layers than the first CNN. The processor merges the output of the first CNN with the output of the second CNN and provides a result following the merging of the outputs.
Public/Granted literature
- US20200005122A1 MULTISCALE FEATURE REPRESENTATIONS FOR OBJECT RECOGNITION AND DETECTION Public/Granted day:2020-01-02
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