公开(公告)号：US20220351535A1

公开(公告)日：2022-11-03

申请号：US17764100

申请日：2019-12-20

Applicant: Intel Corporation

Inventor： Hongzhi TAO ,  Qiang LI

IPC: G06V40/10 ,  G06V20/00 ,  G06N3/04

Abstract: A system for lightweight multi-branch and multi-scale (LMBMS) re-identification is described herein. The system includes a convolutional neural network trained for person identification, wherein the convolutional neural network comprises a series of residual blocks that obtain input from a head network of the convolutional neural network. The system also includes a plurality of refine blocks, wherein one or more refine blocks take as input features from a residual block of the series of residual blocks, wherein the features are at input at different scales and different resolutions and an output of the plurality of refine blocks is a plurality of features in a same feature space. A channel-wise attention mechanism may merge the plurality of features and generate final dynamic features.