OBJECT DETECTION USING ARTIFICIAL INTELLIGENCE

A method of training a machine learning model includes training a primary part of a composite neural network to identify a primary segment of objects in a training image, freezing the primary part of the composite neural network after training the primary part of the composite neural network, and af...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: PERRY, Kristopher Glenn, BANSAL, Anurag, MAESTRE TRUEBA, Miguel Angel, OSTAP, Oleg
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A method of training a machine learning model includes training a primary part of a composite neural network to identify a primary segment of objects in a training image, freezing the primary part of the composite neural network after training the primary part of the composite neural network, and after freezing the primary part of the composite neural network, training, using activations of the primary part of the composite neural network, a secondary part of the composite neural network to identify a first subsegment of objects or a feature of the first subsegment of objects in the training image. The first subsegment of objects is a subset of the primary segment of objects.