UTILIZING OBJECT ATTRIBUTE DETECTION MODELS TO AUTOMATICALLY SELECT INSTANCES OF DETECTED OBJECTS IN IMAGES

Patent №

US 11,468,550

Granted

2022-10-11

Filed 2019

Owner

ADOBE INC.

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16518850

The present disclosure relates to an object selection system that accurately detects and automatically selects target instances of user-requested objects (e.g., a query object instance) in a digital image. In one or more embodiments, the object selection system can analyze one or more user inputs to determine an optimal object attribute detection model from multiple specialized and generalized object attribute models. Additionally, the object selection system can utilize the selected object attribute model to detect and select one or more target instances of a query object in an image, where the image includes multiple instances of the query object.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06F 16/583G06T 7/0002G06F 16/5838G06F 16/5854G06F 40/205G06T 7/70G06T 7/90G06T 11/60+2 more

AI classification

Vision1.00
Machine learning1.00
Knowledge representation0.98
Planning0.98
AI hardware0.98
Natural language0.91
Evolutionary computation0.02
Speech0.00

Ownership

ADOBE INC.

assignment · 498240850

Assignors

COHEN, SCOTT, LIN, ZHE, LING, MINGYANG

On an employer assignment, the assignors are typically the inventors.

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