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.
AI classification
Ownership
ADOBE INC.
assignment · 498240850
Assignors
COHEN, SCOTT, LIN, ZHE, LING, MINGYANG
On an employer assignment, the assignors are typically the inventors.