VENTRAL-DORSAL NEURAL NETWORKS: OBJECT DETECTION VIA SELECTIVE ATTENTION

Patent №

US 10,796,152

Granted

2020-10-06

Filed 2019

Owner

ANCESTRY.COM OPERATIONS INC.

Lab

AI components

4

ml · nlp · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16573180

Embodiments described herein relate generally to a methodology of efficient object classification within a visual medium. The methodology utilizes a first neural network to perform an attention based object localization within a visual medium to generate a visual mask. The visual mask is applied to the visual medium to generate a masked visual medium. The masked visual medium may be then fed into a second neural network to detect and classify objects within the visual medium.

Machine learningNatural languageVisionAI hardwareG06N 3/08G06F 17/15G06N 3/045G06N 3/0464G06N 3/09G06V 10/454G06V 10/764G06V 10/82+1 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.98
Knowledge representation0.50
Speech0.05
Evolutionary computation0.00
Planning0.00

Ownership

ANCESTRY.COM OPERATIONS INC.

assignment · 506140524

Assignors

EBRAHIMPOUR, MOHAMMAD K., YU, YEN-YUN, LI, JIAYUN, REESE, JACK, MOGHTADERI, AZADEH

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

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