Patent ID: 11475100

Abstract:
In accordance with an aspect of the present disclosure, there is provided a convolution operation method. The method comprises, extracting, from a feature data with a M×N matrix (M and N are a natural number), a plurality of separate sub-matrices which have identical dimensions to a convolution kernel with a K×L matrix (K is a natural number equal to or smaller than M, and L is a natural number equal to or smaller than N); generating a first vector which includes elements of at least one of the sub-matrices as elements of the first vector, and a second vector which includes elements of the convolution kernel as elements of the second vector; extracting, from the first vector, a partial vector including all elements of the sub-matrix, for each of the sub-matrices; and deriving a result of a convolution operation by multiplying between each element of the partial vector corresponding to each of the sub-matrices and each element at a corresponding position in the second vector, and by adding results of the multiplication.