Invention Grant
- Patent Title: Ventral-dorsal neural networks: object detection via selective attention
-
Application No.: US16573180Application Date: 2019-09-17
-
Publication No.: US10796152B2Publication Date: 2020-10-06
- Inventor: Mohammad K. Ebrahimpour , Yen-Yun Yu , Jiayun Li , Jack Reese , Azadeh Moghtaderi
- Applicant: Ancestry.com Operations Inc.
- Applicant Address: US UT Lehi
- Assignee: ANCESTRY.COM OPERATIONS INC.
- Current Assignee: ANCESTRY.COM OPERATIONS INC.
- Current Assignee Address: US UT Lehi
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F17/15 ; G06N3/08 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20200097723A1 VENTRAL-DORSAL NEURAL NETWORKS: OBJECT DETECTION VIA SELECTIVE ATTENTION Public/Granted day:2020-03-26
Information query