公开(公告)号：US20250165777A1

公开(公告)日：2025-05-22

申请号：US18740294

申请日：2024-06-11

Applicant: NVIDIA CORPORATION

Inventor： Michael RANZINGER ,  Gregory HEINRICH ,  Jan KAUTZ ,  Pavlo MOLCHANOV

IPC: G06N3/08 ,  G06N3/045

Abstract: One embodiment of a method for training a first machine learning model includes processing first data via a plurality of trained machine learning models to generate a plurality of first outputs, processing the first data via the first machine learning model to generate a second output, processing the second output via a plurality of projection heads to generate a plurality of third outputs, computing a plurality of losses based on the plurality of first outputs and the plurality of third outputs, and performing one or more operations to update one or more parameters of the first machine learning model and one or more parameters of the plurality of projection heads based on the plurality of losses.

公开(公告)号：US20250029206A1

公开(公告)日：2025-01-23

申请号：US18224009

申请日：2023-07-19

Applicant: NVIDIA Corporation

Inventor： Michael RANZINGER

IPC: G06T3/4046 ,  G06V10/26 ,  G06V10/82

Abstract: Apparatuses, systems, and methods to use one or more neural networks to generate information about one or more images based, at least in part, on one or more confidence scores associated with the information. In at least one embodiment, a neural network downscales an image and performs an image processing task on said downscaled image according to a query input by a user.