Invention Application
- Patent Title: NEURAL NETWORKS FOR COARSE- AND FINE-OBJECT CLASSIFICATIONS
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Application No.: US17836287Application Date: 2022-06-09
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Publication No.: US20220374650A1Publication Date: 2022-11-24
- Inventor: Junhua Mao , Congcong Li , Yang Song
- Applicant: Waymo LLC
- Applicant Address: US CA Mountain View
- Assignee: Waymo LLC
- Current Assignee: Waymo LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G05D1/02 ; G06N3/04 ; G06N3/08 ; G06V20/56

Abstract:
Aspects of the subject matter disclosed herein include methods, systems, and other techniques for training, in a first phase, an object classifier neural network with a first set of training data, the first set of training data including a first plurality of training examples, each training example in the first set of training data being labeled with a coarse-object classification; and training, in a second phase after completion of the first phase, the object classifier neural network with a second set of training data, the second set of training data including a second plurality of training examples, each training example in the second set of training data being labeled with a fine-object classification.
Public/Granted literature
- US11842282B2 Neural networks for coarse- and fine-object classifications Public/Granted day:2023-12-12
Information query