Invention Grant
- Patent Title: Localization-aware active learning for object detection
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Application No.: US15691911Application Date: 2017-08-31
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Publication No.: US10769500B2Publication Date: 2020-09-08
- Inventor: Teng-Yok Lee , Chieh-Chi Kao , Pradeep Sen , Ming-Yu Liu
- Applicant: Mitsubishi Electric Research Laboratories, Inc.
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Gennadiy Vinokur; James McAleenan; Hironori Tsukamoto
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/70 ; G06K9/46 ; G06K9/72

Abstract:
System and method for an active learning system including a sensor obtains data from a scene including a set of images having objects. A memory to store active learning data including an object detector trained for detecting objects in images. A processor in communication with the memory, is configured to detect a semantic class and a location of at least one object in an image selected from the set of images using the object detector to produce a detection metric as a combination of an uncertainty of the object detector about the semantic class of the object in the image (classification) and an uncertainty of the object detector about the location of the object in the image (localization). Using an output interface or a display type device, in communication with the processor, to display the image for human labeling when the detection metric is above a threshold.
Public/Granted literature
- US20190065908A1 Localization-Aware Active Learning for Object Detection Public/Granted day:2019-02-28
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