Invention Grant
- Patent Title: Recognition in unlabeled videos with domain adversarial learning and knowledge distillation
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Application No.: US15889846Application Date: 2018-02-06
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Publication No.: US10706336B2Publication Date: 2020-07-07
- Inventor: Kihyuk Sohn , Xiang Yu , Manmohan Chandraker
- Applicant: NEC CORPORATION
- Applicant Address: JP Tokyo
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/66 ; G06K9/00 ; G06N3/08 ; G06N20/00 ; G06N3/04 ; G08B13/196 ; G06T7/70 ; G06T9/00 ; G06K9/46 ; G06N3/02

Abstract:
An object recognition system is provided that includes a device configured to capture a video sequence formed from unlabeled testing video frames. The system includes a processor configured to pre-train a recognition engine formed from a reference set of CNNs on a still image domain that includes labeled training still image frames. The processor adapts the recognition engine to a video domain to form an adapted recognition engine, by applying a non-reference set of CNNs to a set of domains that include the still image and video domains and a degraded image domain. The degraded image domain includes labeled synthetically degraded versions of the labeled training still image frames included in the still image domain. The video domain includes random unlabeled training video frames. The processor recognizes, using the adapted engine, a set of objects in the video sequence. A display device displays the set of recognized objects.
Public/Granted literature
- US20180268265A1 RECOGNITION IN UNLABELED VIDEOS WITH DOMAIN ADVERSARIAL LEARNING AND KNOWLEDGE DISTILLATION Public/Granted day:2018-09-20
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