公开(公告)号：US20210383226A1

公开(公告)日：2021-12-09

申请号：US17338809

申请日：2021-06-04

Applicant: DeepMind Technologies Limited

Inventor： Carl Doersch ,  Ankush Gupta ,  Andrew Zisserman

IPC: G06N3/08 ,  G06N3/04

Abstract: There is described a neural network system for determining a similarity measure between a query data item and a set of support data items. The neural network system is implemented by one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising receiving the query data item and obtaining a support set of one or more support data items comprising a support key embedding and a support value embedding for each respective support data item in the support set. The operations further comprise generating a query key embedding for the query data item using a key embedding neural network subsystem configured to process a data item to generate a key embedding.

公开(公告)号：US20220215580A1

公开(公告)日：2022-07-07

申请号：US17608620

申请日：2020-05-05

Applicant: DeepMind Technologies Limited

Inventor： Ankush Gupta ,  Tejas Dattatraya Kulkarni

IPC: G06T7/73

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unsupervised learning of object keypoint locations in images. In particular, a keypoint extraction machine learning model having a plurality of keypoint model parameters is trained to receive an input image and to process the input image in accordance with the keypoint model parameters to generate a plurality of keypoint locations in the input image. The machine learning model is trained using either temporal transport or spatio-temporal transport.

公开(公告)号：US20240303897A1

公开(公告)日：2024-09-12

申请号：US18600552

申请日：2024-03-08

Applicant: DeepMind Technologies Limited

Inventor： Carl Doersch ,  Yi Yang ,  Mel Vecerik ,  Dilara Gokay ,  Ankush Gupta ,  Yusuf Aytar ,  Joao Carreira ,  Andrew Zisserman

IPC: G06T13/80 ,  G06T3/18 ,  G06T7/70 ,  G06T9/00

CPC classification number: G06T13/80 ,  G06T3/18 ,  G06T7/70 ,  G06T9/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for animating images using point trajectories.

公开(公告)号：US12175723B2

公开(公告)日：2024-12-24

申请号：US17608620

申请日：2020-05-05

Applicant: DeepMind Technologies Limited

Inventor： Ankush Gupta ,  Tejas Dattatraya Kulkarni

IPC: G06V10/00 ,  G06T7/73 ,  G06V10/46 ,  G06V10/82

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unsupervised learning of object keypoint locations in images. In particular, a keypoint extraction machine learning model having a plurality of keypoint model parameters is trained to receive an input image and to process the input image in accordance with the keypoint model parameters to generate a plurality of keypoint locations in the input image. The machine learning model is trained using either temporal transport or spatio-temporal transport.