US 2022/0044125 A1Published application

Training in neural networks

AssigneeNokia Technologies Oy

InventorsGoutham RANGU, Francesco CRICRI, Emre Baris AKSU

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Abstract

A system, obtaining a first training dataset, comprising a plurality of first image and pose data pairs; obtaining a first generated dataset, comprising a plurality of first image and estimated pose data pairs, wherein estimated pose data of the first image and estimated pose data pairs are generated by a first neural network trained using the first training dataset; obtaining a second generated dataset, comprising a plurality of second image and estimated pose data pairs, wherein estimated pose data of the second image and estimated pose data pairs are generated by a second neural network trained using the first training dataset; generating the first and second generated datasets a generated training dataset, comprising image and estimated pose data pairs selected from said first generated dataset; and training a third neural network based on a combination of some or all of the first training dataset and the generated training dataset.

Claims20

Dependent claims

An apparatus comprising:

at least one processor;
and at least one memory including at least one computer program code, the at least one memory and the at least one computer program code configured, with the at least one processor, to cause the apparatus to perform;
obtain a first training dataset, wherein the first training dataset comprises a plurality of first image and pose data pairs;
obtain a first generated dataset, wherein the first generated dataset comprises a plurality of first image and estimated pose data pairs, wherein the estimated pose data of the first image and the estimated pose data pairs are generated, from a set of images, by a first neural network trained using the first training dataset;
obtain a second generated dataset, wherein the second generated dataset comprises a plurality of second image and estimated pose data pairs, wherein the estimated pose data of the second image and the estimated pose data pairs are generated, from the set of images, by a second neural network trained using the first training dataset;
generate a generated training dataset from the first and second generated datasets, wherein the generated training dataset comprises the image and estimated pose data pairs selected from said first generated dataset;
and
train a third neural network based on a combination of some or all of the first training dataset and the generated training dataset.

5 more elements

Dependencies are inferred from the claim text.