Superpixel methods for convolutional neural networks

A computer implemented method for training a convolutional neural network that includes a plurality of convolutional neural network layers on training data,

• wherein the convolutional neural network comprises (i) at least one superpixel convolutional neural network layer having respective superpixel convolutional neural network layer parameters that is configured to receive an X by Y by Z input tensor and process the received input tensor using one or more convolutional neural network layer weight matrices to generate an U by V by W output tensor, and (ii) one or more other convolutional neural network layers having respective layer parameters, and
• wherein the method comprises:
• obtaining training data;
• and
• training the convolutional neural network on the training data to adjust the values of the parameters of the superpixel convolutional neural network and the values of the parameters of the other convolutional neural network layers to trained values.

A system comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations for training a convolutional neural network that includes a plurality of convolutional neural network layers on training data,

• wherein the convolutional neural network comprises (i) at least one superpixel convolutional neural network layer having respective superpixel convolutional neural network layer parameters that is configured to receive an X by Y by Z input tensor and process the received input tensor using one or more convolutional neural network layer weight matrices to generate an U by V by W output tensor, and (ii) one or more other convolutional neural network layers having respective layer parameters, the operations comprising:
• obtaining training data;
• and
• training the convolutional neural network on the training data to adjust the values of the parameters of the superpixel convolutional neural network and the values of the parameters of the other convolutional neural network layers to trained values.

A computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations for training a convolutional neural network that includes a plurality of convolutional neural network layers on training data,

• wherein the convolutional neural network comprises (i) at least one superpixel convolutional neural network layer having respective superpixel convolutional neural network layer parameters that is configured to receive an X by Y by Z input tensor and process the received input tensor using one or more convolutional neural network layer weight matrices to generate an U by V by W output tensor, and (ii) one or more other convolutional neural network layers having respective layer parameters, the operations comprising:
• obtaining training data;
• and
• training the convolutional neural network on the training data to adjust the values of the parameters of the superpixel convolutional neural network and the values of the parameters of the other convolutional neural network layers to trained values.