| CPC G06V 10/751 (2022.01) [G06V 10/82 (2022.01)] | 7 Claims |

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1. An image convolution method in a hyperbolic space performed by a convolution module comprising steps of:
embedding an image feature vector on a Euclidean space into a hyperbolic feature vector on a hyperbolic space;
setting a hierarchical weight on the hyperbolic feature vector based on a hierarchical property of the hyperbolic feature vector;
rearranging the hyperbolic feature vector in the size order of the hierarchical weight;
generating a hierarchical weight vector arranged in the size order of the hierarchical weight; and
convolutioning the hyperbolic feature vector after applying the hierarchical weight vector to the hyperbolic feature vector.
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