Invention Grant
- Patent Title: Neural network for object detection in images
-
Application No.: US16949856Application Date: 2020-11-17
-
Publication No.: US11645834B2Publication Date: 2023-05-09
- Inventor: Wei Han , Jianchao Yang , Ning Zhang , Jia Li
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/46 ; G06K9/52 ; G06K9/66 ; G06T3/40 ; G06V10/42 ; G06V10/44 ; G06V10/46 ; G06V30/194 ; G06N3/04 ; G06N3/084

Abstract:
Systems, devices, media, and methods are presented for identifying and categorically labeling objects within a set of images. The systems and methods receive an image depicting an object of interest, detect at least a portion of the object of interest within the image using a multilayer object model, determine context information, and identify the object of interest included in two or more bounding boxes.
Public/Granted literature
- US20210073597A1 NEURAL NETWORKING FOR OBJECT DETECTION IN IMAGES Public/Granted day:2021-03-11
Information query