公开(公告)号：US20240161460A1

公开(公告)日：2024-05-16

申请号：US18501167

申请日：2023-11-03

Applicant: Qualcomm Technologies, Inc.

Inventor： Pengwan YANG ,  Yuki Markus ASANO ,  Cornelis Gerardus Maria SNOEK

IPC: G06V10/77 ,  G06V10/42 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/7715 ,  G06V10/42 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V20/70

Abstract: Certain aspects of the present disclosure provide techniques and apparatuses for inferencing against a multidimensional point cloud using a machine learning model. An example method generally includes generating a score for each respective point in a multidimensional point cloud using a scoring neural network. Points in the multidimensional point cloud are ranked based on the generated score for each respective point in the multidimensional point cloud. The top points are selected from the ranked multidimensional point cloud, and one or more actions are taken based on the selected top k points.

公开(公告)号：US20250166325A1

公开(公告)日：2025-05-22

申请号：US18744541

申请日：2024-06-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Hongyu WU ,  Pengwan YANG ,  Yuki Markus ASANO ,  Cornelis Gerardus Maria SNOEK

IPC: G06T19/20 ,  G06V10/77 ,  G06V10/82

Abstract: A processor-implemented method includes obtaining, with a backbone artificial neural network, an original feature map of point cloud data. The method also includes deforming the point cloud data, with a deformation artificial neural network, into a number of deformed point cloud objects based on the original feature map of point cloud data. The method further includes combining the deformed point cloud objects into a mixed point cloud. The method still further includes extracting, with the backbone artificial neural network, a mixed feature map from the mixed point cloud. The method includes extracting a number of deformed feature maps from the deformed point cloud objects. The method still further includes computing, with a contrastive module, a loss for the backbone artificial neural network and for the deformation artificial neural network based on the mixed feature map and the deformed feature maps.