Invention Grant
- Patent Title: Object detection using deep neural networks
- Patent Title (中): 使用深层神经网络的对象检测
-
Application No.: US14288194Application Date: 2014-05-27
-
Publication No.: US09275308B2Publication Date: 2016-03-01
- Inventor: Christian Szegedy , Dumitru Erhan , Alexander Toshkov Toshev
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06K9/66

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting objects in images. One of the methods includes receiving an input image. A full object mask is generated by providing the input image to a first deep neural network object detector that produces a full object mask for an object of a particular object type depicted in the input image. A partial object mask is generated by providing the input image to a second deep neural network object detector that produces a partial object mask for a portion of the object of the particular object type depicted in the input image. A bounding box is determined for the object in the image using the full object mask and the partial object mask.
Public/Granted literature
- US20150170002A1 OBJECT DETECTION USING DEEP NEURAL NETWORKS Public/Granted day:2015-06-18
Information query