Title:
COMPRESSED NETWORK FOR PRODUCT RECOGNITION
Document Type and Number:
WIPO Patent Application WO/2020/227845
Kind Code:
A1
Abstract:
Aspects of this disclosure include technologies to detect unpackaged, unlabeled, or mislabeled products based on product images. Leveraging from improved machine learning techniques, the disclosed technical solution can reduce a full product space for product search to a partial product space. Accordingly, a limited number of product candidates in the partial product space may be visually presented for user evaluation. Sometimes, a product candidate is to be comparatively presented with a live image of the product via a uniquely designed graphic user interface, which further improves the confidence of the user and the accuracy of the underlying transaction.
Inventors:
GUO SHENG (CN)
ZHANG HAOZHI (CN)
HUANG WEILIN (CN)
ZHANG TIANGANG (CN)
GAO YU (CN)
YIN LE (CN)
SCOTT MATTHEW (CN)
ZHANG HAOZHI (CN)
HUANG WEILIN (CN)
ZHANG TIANGANG (CN)
GAO YU (CN)
YIN LE (CN)
SCOTT MATTHEW (CN)
Application Number:
PCT/CN2019/086367
Publication Date:
November 19, 2020
Filing Date:
May 10, 2019
Export Citation:
Assignee:
SHENZHEN MALONG TECH CO LTD (CN)
International Classes:
H04L29/06; G06V10/764; G06V10/774
Foreign References:
| US20150054959A1 | 2015-02-26 | |||
| CN206504782U | 2017-09-19 | |||
| CN207510869U | 2018-06-19 |
Attorney, Agent or Firm:
SHENZHEN ZHONGYI UNION INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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