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1.发明授权公开(公告)号：US10997469B2
公开(公告)日：2021-05-04
申请号：US16581110
申请日：2019-09-24
发明人： Aravind Anantha , Mahesh Saptharishi , Yanyan Hu
摘要： Methods, systems, and techniques for facilitating improved training of a supervised machine learning process, such as a decision tree. First and second object detections of an object depicted in a video are respectively generated using first and second object detectors, with the second object detector requiring more computational resources than the first object detector to detect the object. Whether a similarity and a difference between the first and second object detections respectively satisfy a similarity threshold and a difference threshold is determined. When the similarity threshold is satisfied, the first object detection is stored as a positive example for the machine learning training. When the difference threshold is satisfied, the first object detection is stored as a negative example for the machine learning training.
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2.发明申请公开(公告)号：US20210089833A1
公开(公告)日：2021-03-25
申请号：US16581110
申请日：2019-09-24
发明人： Aravind Anantha , Mahesh Saptharishi , Yanyan Hu
摘要： Methods, systems, and techniques for facilitating improved training of a supervised machine learning process, such as a decision tree. First and second object detections of an object depicted in a video are respectively generated using first and second object detectors, with the second object detector requiring more computational resources than the first object detector to detect the object. Whether a similarity and a difference between the first and second object detections respectively satisfy a similarity threshold and a difference threshold is determined. When the similarity threshold is satisfied, the first object detection is stored as a positive example for the machine learning training. When the difference threshold is satisfied, the first object detection is stored as a negative example for the machine learning training.
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