AUTOMATED IDENTIFICATION OF TRAINING DATA CANDIDATES FOR PERCEPTION SYSTEMS

Methods are described for automatically identifying perception weaknesses for training data to be used in improving the performance of perception systems. Deficiencies in simulated data are also identified. The methods, which can be incorporated into a system or into instructions placed on storage m...

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Hauptverfasser:	DOONAN, WESLEY, MYERS, EBEN ISAAC, OSYK, ELIZABETH ANN, KOOPMAN, JR., PHILIP J
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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creator	DOONAN, WESLEY MYERS, EBEN ISAAC OSYK, ELIZABETH ANN KOOPMAN, JR., PHILIP J
description	Methods are described for automatically identifying perception weaknesses for training data to be used in improving the performance of perception systems. Deficiencies in simulated data are also identified. The methods, which can be incorporated into a system or into instructions placed on storage media, include comparing perception system results between baseline results and results with augmented inputs and identifying perception weaknesses responsive to that comparison. The perception system is retrained using the relabeled data and is improved thereby.
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subjects	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
title	AUTOMATED IDENTIFICATION OF TRAINING DATA CANDIDATES FOR PERCEPTION SYSTEMS
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