I am implementing a paper on image segmentation. It is based on the slight modification of the u-net architecture.
The paper is based on encoder and decoder steps Following are the lines of the paper which I am unable to understand.
In the decoder path, features from the encoder path at the same resolution are fused through concatenation.
and then the architecture of the network is given-
Layer . Output size . Filter Size Stride Dropout Inputs . _ . _ . _ . _ Conv1 Conv2 Max Pool1 Conv3 Conv4 Max Pool2 Conv5 Conv6 Max Pool3 Conv7 Conv8 Max Pool4 Conv9 Conv10 Upsampling1 Conv11 Conv12 Upsampling2 Conv11 Conv12 Upsampling3 Conv11 Conv12 Upsampling4 Conv11 Conv12 Output
I am not adding the other columns values for conciseness. Anyone who want to read the whole paper, it is this. The required lines are in the Table 1.