公开(公告)号：US20240070516A1

公开(公告)日：2024-02-29

申请号：US17822029

申请日：2022-08-24

Applicant: ADOBE INC.

Inventor： Parth Shailesh PATEL ,  Ashutosh MEHRA

IPC: G06N20/00 ,  G06N5/04

CPC classification number: G06N20/00 ,  G06N5/04

Abstract: Systems and methods for machine learning context based confidence calibration are disclosed. In one embodiment, a processing logic may obtain an image frame; generate, with a first machine learning model, a confidence score, a bounding box, and an instance embedding corresponding to an object instance inferred from the image frame; and compute, with a second machine learning model, a calibrated confidence score for the object instance based on the instance embedding, the confidence score, and the bounding box.