Poly-scale kernel-wise convolution for high-performance visual recognition applications

A non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least:

• access an input corresponding to an image, the input including a plurality of input feature maps;
• process the input with a convolutional neural network (CNN), the CNN including a plurality of layers and including:
• a first filter including a first kernel having a first dilation rate and a sample rate;
• a second filter including a second kernel having a second dilation rate and the sample rate, the first dilation rate different than the second dilation rate;
• and
• combine output of the first filter and the second filter to generate an output volume corresponding to the image.

An apparatus comprising:

• a memory to store at least a portion of an input corresponding to an image, the input including a plurality of input feature maps;
• and
• a programmable circuit to:
• process the input with a convolutional neural network (CNN), the CNN including a plurality of layers and including:
• a first filter including a first kernel having a first dilation rate and a sample rate;
• a second filter including a second kernel having a second dilation rate and the sample rate, the first dilation rate different than the second dilation rate;
• and
• combine output of the first filter and the second filter to generate an output volume corresponding to the image.

A method comprising:

• accessing an input corresponding to an image, the input including a plurality of input feature maps;
• processing the input with a convolutional neural network (CNN), the CNN including a plurality of layers and including:
• a first filter including a first kernel having a first dilation rate and a sample rate;
• a second filter including a second kernel having a second dilation rate and the sample rate, the first dilation rate different than the second dilation rate;
• and
• combining output of the first filter and the second filter to generate an output volume corresponding to the image.