Invention Grant
- Patent Title: Training image and text embedding models
-
Application No.: US16265793Application Date: 2019-02-01
-
Publication No.: US11586927B2Publication Date: 2023-02-21
- Inventor: Zhen Li , Yi-ting Chen , Yaxi Gao , Da-Cheng Juan , Aleksei Timofeev , Chun-Ta Lu , Futang Peng , Sujith Ravi , Andrew Tomkins , Thomas J. Duerig
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/084 ; G06F16/538 ; G06F16/9538 ; G06K9/62 ; G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.
Public/Granted literature
- US20200250537A1 TRAINING IMAGE AND TEXT EMBEDDING MODELS Public/Granted day:2020-08-06
Information query