Invention Grant
- Patent Title: Neural networks for object detection
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Application No.: US16022901Application Date: 2018-06-29
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Publication No.: US10769809B1Publication Date: 2020-09-08
- Inventor: Abhijit Ogale , Alexander Krizhevsky , Wan-Yen Lo
- Applicant: Waymo LLC
- Applicant Address: US CA Mountain View
- Assignee: Waymo LLC
- Current Assignee: Waymo LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/73 ; G06K9/68 ; G06N3/08 ; G06N3/04 ; G06K9/00

Abstract:
A neural network system for identifying positions of objects in an input image can include an object detector neural network, a memory interface subsystem, and an external memory. The object detector neural network is configured to, at each time step of multiple successive time steps, (i) receive a first neural network input that represents the input image and a second neural network input that identifies a first set of positions of the input image that have each been classified as showing a respective object of the set of objects, and (ii) process the first and second inputs to generate a set of output scores that each represents a respective likelihood that an object that is not one of the objects shown at any of the positions in the first set of positions is shown at a respective position of the input image that corresponds to the output score.
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