Method and apparatus for computer vision processing

A method for computer vision processing, comprising the following steps:

• projecting input visual data into a plurality of intermediate feature maps by performing a plurality of 1×1 convolution operations;
• generating an attention weighted map by performing attention and aggregation operations on the plurality of intermediate feature maps;
• generating a convolved feature map by performing shift and summation operations on the plurality of intermediate feature maps;
• and
• adding the attention weighted map and the convolved feature map based on at least one scalar.

An apparatus for computer vision processing, comprising:

• a 1×1 convolution module configured to project input visual data into a plurality of intermediate feature maps by performing a plurality of 1×1 convolution operations;
• an attention and aggregation module configured to generate an attention weighted map by performing attention and aggregation operations on the plurality of intermediate feature maps;
• a shift and summation module configured to generate a convolved feature map by performing shift and summation operations on the plurality of intermediate feature maps;
• and
• an addition module, configured to add the attention weighted map and the convolved feature map based on at least one scalar.

An apparatus for computer vision processing, comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to perform computer vision processing, the processor configured to:
• project input visual data into a plurality of intermediate feature maps by performing a plurality of 1×1 convolution operations;
• generate an attention weighted map by performing attention and aggregation operations on the plurality of intermediate feature maps;
• generate a convolved feature map by performing shift and summation operations on the plurality of intermediate feature maps;
• and
• add the attention weighted map and the convolved feature map based on at least one scalar.

A non-transitory computer readable medium on which is stored computer code for computer vision processing, the computer code, when executed by a processor, causing the processor to perform the following steps:

• project input visual data into a plurality of intermediate feature maps by performing a plurality of 1×1 convolution operations;
• generate an attention weighted map by performing attention and aggregation operations on the plurality of intermediate feature maps;
• generate a convolved feature map by performing shift and summation operations on the plurality of intermediate feature maps;
• and
• add the attention weighted map and the convolved feature map based on at least one scalar.