Invention Grant
- Patent Title: Training and using an ensemble of complimentary convolutional neural networks for cross-domain retrieval of fashion item images
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Application No.: US16808483Application Date: 2020-03-04
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Publication No.: US11443468B2Publication Date: 2022-09-13
- Inventor: Naila Murray , Michal Kucer
- Applicant: Naver Corporation
- Applicant Address: KR Seongnam-si
- Assignee: Naver Corporation
- Current Assignee: Naver Corporation
- Current Assignee Address: KR Seongnam-si
- Agency: Basch & Nickerson LLP
- Agent Michael J. Nickerson
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T11/60 ; G06T7/70 ; G06N3/08 ; G06T7/10

Abstract:
A method and system generate an ensemble image representation for cross-domain retrieval of a fashion item image from a database by using a three-stream Siamese triplet loss trained convolutional neural network to generate a first retrieval descriptor corresponding to an inputted query image; using an average precision loss trained convolutional neural network to generate a second retrieval descriptor corresponding to the inputted query image; concatenating both the first retrieval descriptor and the second retrieval descriptor; and I2-normalizing the concatenated result to generate the ensemble image representation. During a first stage of the method and system, database items are cropped using a trained fine-grained fashion item detector.
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