Direct depth prediction
AssigneeQUALCOMM Incorporated
InventorsAmin Ansari, Makesh Pravin John Wilson, Avdhut Joshi, Sai Madhuraj Jadhav
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AssigneeQUALCOMM Incorporated
InventorsAmin Ansari, Makesh Pravin John Wilson, Avdhut Joshi, Sai Madhuraj Jadhav
Estimating the term…
Example systems and techniques are described for training a machine learning model. A system includes memory configured to store image data captured by a plurality of cameras and one or more processors communicatively coupled to the memory. The one or more processors are configured to execute a machine learning model on the image data, the machine learning model including a plurality of layers. The one or more processors are configured to apply a non-linear mapping function to output of one layer of the plurality of layers to generate depth data. The one or more processors are configured to train the machine learning model based on the depth data to generate a trained machine learning model.
A system comprising:
A method comprising:
A system comprising:
A system comprising:
Dependencies are inferred from the claim text.