Fig. 3

Encoder architecture of PoinUNet; The input image is processed through a convolution layer, followed by parallel hyperbolic (Poincaré embedding and Möbius convolution) and Euclidean convolution layers. The resulting feature maps (\({F}_{h}\) and \({F}_{e}\)) are concatenated and downsampled using MaxPooling for further processing in the decoder.