Image processing methods

An image processing method, comprising steps of:

• obtaining to-be-processed multi-channel feature maps, wherein each of the multi-channel feature maps corresponding to a channel;
• obtaining multi-channel first output feature maps by processing the multi-channel feature maps through a pointwise convolution and multi-channel second output feature maps by processing the multi-channel feature maps through a non-pointwise convolution, wherein the pointwise convolution and the non-pointwise convolution are performed in parallel, and the non-pointwise convolution is for descripting a spatial feature of each channel and an information exchange between the feature maps;
• and
• fusing the multi-channel first output feature maps and the multi-channel second output feature maps to obtain a multi-channel third output feature map;
• wherein, the non-pointwise convolution is an adaptive linear operation, and in response to a second ratio of a channel amount corresponding to the multi-channel second output feature maps to a channel amount corresponding to the channel feature maps to perform the non-pointwise convolution being a positive integer, the multi-channel second output feature maps is obtained by:
• evenly dividing the channel feature maps into the feature map groups by channel, wherein an amount of the feature map in each feature map group is 1;
• and
• performing the linear operation on the feature map in each feature map group for a plurality of times, and using results of the linear operation corresponding to the feature map as the second output feature maps of channels corresponding to the feature map, wherein the times of performing the linear operation on the feature map in each feature map group is equal to the second ratio.

An image processing method, comprising steps of:

• obtaining to-be-processed multi-channel feature maps, wherein each of the multi-channel feature maps corresponding to a channel;
• obtaining multi-channel first output feature maps by processing the multi-channel feature maps through a pointwise convolution and multi-channel second output feature maps by processing the multi-channel feature maps through a non-pointwise convolution, wherein the pointwise convolution and the non-pointwise convolution are performed in parallel, and the non-pointwise convolution is for descripting a spatial feature of each channel and an information exchange between the feature maps;
• and
• fusing the multi-channel first output feature maps and the multi-channel second output feature maps to obtain a multi-channel third output feature map;
• wherein, the non-pointwise convolution is an adaptive linear operation, and in response to both a first ratio of a channel amount corresponding to the channel feature maps to perform the non-pointwise convolution and a channel amount corresponding to the multi-channel second output feature maps and a second ratio of a channel amount corresponding to the multi-channel second output feature maps to a channel amount corresponding to the channel feature maps to perform the non-pointwise convolution being not positive integers, the multi-channel second output feature maps is obtained by:
• obtaining a common divisor between the channel amount of the channel feature maps and the channel amount of the multi-channel second output feature maps;
• using one of the common divisors as a target common divisor;
• grouping the channel feature maps into first feature map groups and the multi-channel second output feature maps into second output feature map groups by channel according to the target common divisor, wherein there are a plurality of feature maps in each first feature map group, and there are a plurality of second output feature maps in each second output feature map group, and an amount of the first feature map groups and the second output feature map groups is the target common divisor;
• and
• obtaining the second output feature map groups corresponding to each first feature map group by performing the linear operation on the first feature map group for a plurality of times.