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US Patent 11062180 Complexity-based progressive training for machine vision models
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Is a
Patent
Date Filed
July 18, 2018
Date of Patent
July 13, 2021
Patent Application Number
16079472
Patent Citations
US Patent 10607116 Automatically tagging images to create labeled dataset for training supervised machine learning models
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US Patent 10655978 Controlling an autonomous vehicle based on passenger behavior
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US Patent 10846523 System and method of character recognition using fully convolutional neural networks with attention
US Patent 10740694 System and method for capture and adaptive data generation for training for machine vision
US Patent 10860836 Generation of synthetic image data for computer vision models
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US Patent 10055673 Method and device for processing an image of pixels, corresponding computer program product and computer-readable medium
0
US Patent 10417533 Selection of balanced-probe sites for 3-D alignment algorithms
Patent Inventor Names
Weilin Huang
0
Haozhi Zhang
0
Matthew R. Scott
0
Sheng Guo
0
Chenfan Zhuang
0
Dengke Dong
0
Dinglong Huang
0
Patent Jurisdiction
United States Patent and Trademark Office
Patent Number
11062180
Patent Primary Examiner
Amir Alavi
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