CPC G06V 10/454 (2022.01) [G06F 18/213 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2013.01); G06V 10/82 (2022.01); G06V 30/19173 (2022.01)] | 22 Claims |
1. A neural network apparatus, comprising:
one or more processors configured to:
acquire an input feature map and trained weights corresponding to non-dilated weights,
generate a plurality of sub-feature maps by applying a dilation rate on the input feature map, including splitting the input feature map based on the dilation rate,
generate a plurality of intermediate feature maps by performing a convolution operation between the plurality of sub-feature maps and the trained weights, and
generate a dilated output feature map by merging the plurality of intermediate feature maps based on the dilation rate.
|