公开(公告)号：US20230070439A1

公开(公告)日：2023-03-09

申请号：US17794555

申请日：2021-03-18

Applicant: QUALCOMM Technologies, Inc.

Inventor： Deepak Kumar GUPTA ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06T7/73 ,  G06T5/20

Abstract: A method for object tracking includes receiving a target image of an object of interest. Latent space features of the target image is modified at a forward pass for a neural network by dropping at least one channel of the latent space features, dropping a channel corresponding to a slice of the latent space features, or dropping one or more features of the latent space features. At the forward pass, a location of the object of interest in a search image is predicted based on the modified latent space features. The location of the object of interest is identified by aggregating predicted locations from the forward pass.

公开(公告)号：US20220156502A1

公开(公告)日：2022-05-19

申请号：US17526969

申请日：2021-11-15

Applicant: QUALCOMM Technologies, Inc.

Inventor： Christen Maximilian FILTENBORG ,  Deepak Kumar GUPTA

IPC: G06K9/00 ,  G06F40/30 ,  G06K9/46

Abstract: A computer-implemented method for tracking with visual object constraints includes receiving a lingual constraint and a video. A word embedding is generated based on the lingual constraint. A set of features is extracted for one or more frames of the video. The word embedding is cross-correlated to the set of features for the one or more frames of the video. A prediction indicating whether the lingual constraint is in the one or more frames of the video is generated based on the cross-correlation.