公开(公告)号：US20250094780A1

公开(公告)日：2025-03-20

申请号：US18468203

申请日：2023-09-15

Applicant: QUALCOMM Incorporated

Inventor： Kartikeya BHARDWAJ ,  Piero ZAPPI ,  Paul Nicholas WHATMOUGH ,  Christopher LOTT ,  Viswanath GANAPATHY ,  Chirag Sureshbhai PATEL ,  Joseph Binamira SORIAGA

IPC: G06N3/0464

Abstract: Certain aspects provide techniques and apparatuses for efficiently processing inputs in a neural network using multiple receptive field sizes. An example method includes partitioning a first input into a first set of channels and a second set of channels. At a first layer of a neural network, the first set of channels and the second set of channels are convolved into a first output having a smaller dimensionality a dimensionality of the first input. The first set of channels and the first output are concatenated into a second input. The second input is convolved into a second output via a second layer of the neural network, wherein the second output merges a first receptive field generated by the first layer with a larger second receptive field generated by the second layer. One or more actions are taken based on at least one of the first output and the second output.