Spatial pyramid pooling networks for image processing

A computing device to perform image processing, the computing device comprising:

• an input module configured to receive an input image through one or more of a wired or wireless communication;
• a memory configured to store instructions;
• and
• a processor coupled to the memory and the input module, the processor executing an image processing application, wherein the image processing application is configured to:
• receive an input image;
• generate feature maps by one or more filters on one or more convolutional layers of a neural network;
• spatially pool responses of each filter of a top convolutional layer in a plurality of spatial bins at a spatial pyramid pooling (SPP) network following the top convolutional layer, wherein the SPP network comprises one or more layers;
• and
• provide outputs of a top SPP network layer to a fully-connected layer as fixed dimensional vectors.

A computer-readable memory device with instructions stored thereon to perform image processing, the instructions comprising:

• receiving an input image;
• generating feature maps by one or more filters on one or more convolutional layers of a neural network;
• spatially pooling responses of each filter of a top convolutional layer in a plurality of spatial bins of a spatial pyramid pooling (SPP) network following the top convolutional layer, wherein the SPP network comprises one or more layers;
• providing outputs of a top SPP network layer to a fully-connected layer as fixed dimensional vectors;
• and
• training a classifier to tag the input image based on the fixed dimensional vectors received at the fully-connected layer.