Abstract: An example apparatus for processing images includes a hybrid infinite impulse response-finite impulse response (IIR-FIR) convolution block to receive an image and generate processed image information. The hybrid IIR-FIR convolution block includes a vertical infinite impulse response (IIR) component to approximate a vertical convolution when processing the image.

Abstract: A method, system, and article of highly efficient neural network video image processing uses temporal correlations.

Abstract: Methods, systems, apparatus, and articles of manufacture to improve semantic image segmentation with a neural network accelerator system. Disclosed examples include an apparatus to perform semantic image segmentation comprising: mode selecting circuitry to transmit an input image to at least one of vision network circuitry and imaging network circuitry; the vision network circuitry to generate a first output based on a first feature map of a the input image being generated by image scaling circuitry; the imaging network circuitry to generate a second output of the input image; bottleneck extender circuitry to: upscale the first output to a resolution based on the second output; concatenate the first and second output to generate a concatenated output; and apply a convolution operation to the concatenated output; and segmentation head circuitry to generate a pixel level segmentation class map from the concatenated output.

Abstract: An example apparatus for processing images includes a hybrid infinite impulse response—finite impulse response (IIR-FIR) convolution block to receive an image and generate processed image information. The hybrid IIR-FIR convolution block includes a vertical infinite impulse response (IIR) component to approximate a vertical convolution when processing the image.