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US Patent 11521010 Automatically choosing data samples for annotation
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Patent
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Date Filed
January 23, 2020
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Date of Patent
December 6, 2022
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Patent Application Number
16751155
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Patent Citations
US Patent 10354159 Methods and software for detecting objects in an image using a contextual multiscale fast region-based convolutional neural network
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US Patent 10424064 Instance-level semantic segmentation system
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US Patent 10489918 Video object tracking
US Patent 10509987 Learning method and learning device for object detector based on reconfigurable network for optimizing customers' requirements such as key performance index using target object estimating network and target object merging network, and testing method and testing device using the same
US Patent 10535138 Sensor data segmentation
US Patent 10936902 Training bounding box selection
US Patent 10977518 Machine learning based adaptive instructions for annotation
US Patent 11017271 Edge-based adaptive machine learning for object recognition
US Patent 11294884 Annotation assessment and adjudication
US Patent 11373393 Image based object detection
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Patent Citations Received
US Patent 11703599 Partial point cloud-based pedestrians' velocity estimation method
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Patent Inventor Names
Oscar Olof Beijbom
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Holger Caesar
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11521010
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Patent Primary Examiner
Michael S Osinski
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CPC Code
G06V 10/82
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G06V 20/58
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G06V 10/454
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G06V 10/25
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G06V 30/194
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G06V 10/255
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G06V 20/35
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G06V 20/52
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G06T 2207/20081
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G06T 2207/20084
0
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