公开(公告)号：US11288719B2

公开(公告)日：2022-03-29

申请号：US16802864

申请日：2020-02-27

Applicant: Google LLC

Inventor： Yang Xu ,  Jiang Wang ,  Shengyang Dai

IPC: G06Q30/04 ,  G06K9/00 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for converting unstructured documents to structured key-value pairs. In one aspect, a method comprises: providing an image of a document to a detection model, wherein: the detection model is configured to process the image to generate an output that defines one or more bounding boxes generated for the image; and each bounding box generated for the image is predicted to enclose a key-value pair comprising key textual data and value textual data, wherein the key textual data defines a label that characterizes the value textual data; and for each of the one or more bounding boxes generated for the image: identifying textual data enclosed by the bounding box using an optical character recognition technique; and determining whether the textual data enclosed by the bounding box defines a key-value pair.

公开(公告)号：US11443162B2

公开(公告)日：2022-09-13

申请号：US16549715

申请日：2019-08-23

Applicant: Google LLC

Inventor： Ming-Hsuan Yang ,  Xiaojie Jin ,  Joshua Foster Slocum ,  Shengyang Dai ,  Jiang Wang

IPC: G06N3/04 ,  G06N20/00 ,  G06F16/901

Abstract: Methods, and systems, including computer programs encoded on computer storage media for neural network architecture search. A method includes defining a neural network computational cell, the computational cell including a directed graph of nodes representing respective neural network latent representations and edges representing respective operations that transform a respective neural network latent representation; replacing each operation that transforms a respective neural network latent representation with a respective linear combination of candidate operations, where each candidate operation in a respective linear combination has a respective mixing weight that is parameterized by one or more computational cell hyper parameters; iteratively adjusting values of the computational cell hyper parameters and weights to optimize a validation loss function subject to computational resource constraints; and generating a neural network for performing a machine learning task using the defined computational cell and the adjusted values of the computational cell hyper parameters and weights.

公开(公告)号：US11146520B2

公开(公告)日：2021-10-12

申请号：US16675269

申请日：2019-11-06

Applicant: Google LLC

Inventor： David Lieb ,  James Gallagher ,  Kedar Jayant Kanitkar ,  Teresa Ko ,  Loren Puchalla Fiore ,  Jason Chang ,  Nan Wang ,  Jingyu Cui ,  Shengyang Dai

IPC: H04L12/58 ,  G06F16/58 ,  G06F16/50 ,  G06T3/40 ,  H04L29/08

Abstract: Implementations relate to sharing images and image albums over a communication network. In some implementations, a computer-implemented method includes determining that a shared album data structure is accessible by a device and includes references to album images. The device determines one or more suggested images from a collection of stored images associated with a user, based on determining sharing scores for the stored images. The sharing scores are based on comparing one or more characteristics of the stored images to one or more corresponding characteristics of the album images. The method includes causing display of the one or more suggested images by the device, receiving a selection of at least one selected image of the suggested images based on received user input, and causing an update of the shared album data structure with the at least one selected image to be accessible over a communication network by recipient users.

公开(公告)号：US10891526B2

公开(公告)日：2021-01-12

申请号：US16230788

申请日：2018-12-21

Applicant: Google LLC

Inventor： Shinko Cheng ,  Eunyoung Kim ,  Shengyang Dai ,  Madhur Khandelwal ,  Kristina Eng ,  David Loxton

IPC: G06K9/62 ,  G06F16/51 ,  G06F16/11

Abstract: Some implementations related to archiving of functional images. In some implementations, a method includes accessing images and determining one or more functional labels corresponding to each of the images and one or more confidence scores corresponding to the functional labels. A functional image score is determined for each of the images based on the functional labels having a corresponding confidence score that meets a respective threshold for the functional labels. In response to determining that the functional image score meets a functional image score threshold, a functional image signal is provided that indicates that one or more of the images that meet the functional image score threshold are functional images. The functional images are determined to be archived, and are archived by associating an archive attribute with the functional images such that functional images having the archive attribute are excluded from display in views of the images.