Open Access

Table D.3

Architecture of the optimized U-Nets applied to WEAVE and VIPERS data.

Model Type Size Additional Info Model Type Size Additional Info
WEAVE Input (5000, 1) VIPERS Input (2000, 1)
Masking (5000, 1) Mask value: 0 Masking (2000, 1) Mask value: 0
Conv (5000, 16) Kernel Size: 5 Conv (2000, 32) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (5000, 16) Kernel Size: 5 Conv (2000, 32) Kernel Size: 5
Act.: ReLU Act.: ReLU
MaxPooling (2500, 16) Pool Size: 2 MaxPooling (1000, 32) Pool Size: 2
Conv (2500, 32) Kernel Size: 5 Conv (1000, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
MaxPooling (1250, 32) Pool Size: 2 Conv (1000, 128) Kernel Size: 5
Conv (1250, 128) Kernel Size: 5 Act.: ReLU
Act.: ReLU MaxPooling (500, 128) Pool Size: 2
Conv (1250, 128) Kernel Size: 5 Conv (500, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
MaxPooling (625, 128) Pool Size: 2 Conv (500, 128) Kernel Size: 5
Conv (625, 128) Kernel Size: 5 Act.: ReLU
Act.: ReLU MaxPooling (250, 128) Pool Size: 2
Conv (625, 128) Kernel Size: 5 Conv (250, 512) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (1250, 128) Kernel Size: 2 Conv (250, 512) Kernel Size: 5
Transpose Act.: ReLU Act.: ReLU
Concatenate (1250, 256) Conv (500, 128) Kernel Size: 5
Conv (1250, 128) Kernel Size: 5 Transpose Act.: ReLU
Act.: ReLU Concatenate (500, 256)
Conv (1250, 128) Kernel Size: 5 Conv (500, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (2500, 32) Kernel Size: 2 Conv (500, 128) Kernel Size: 5
Transpose Act.: ReLU Act.: ReLU
Concatenate (2500, 64) Conv (1000, 128) Kernel Size: 2
Conv (2500, 32) Kernel Size: 5 Transpose Act.: ReLU
Act.: ReLU Concatenate (1000, 256)
Conv (2500, 32) Kernel Size: 5 Conv (1000, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (5000, 16) Kernel Size: 2 Conv (2000, 32) Kernel Size: 2
Transpose Act.: ReLU Transpose Act.: ReLU
Concatenate (5000, 32) Concatenate (2000, 64)
Conv (5000, 16) Kernel Size: 5 Conv (2000, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (5000, 16) Kernel Size: 5 Conv (2000, 128) Kernel Size: 5
Act.: ReLU Act.: ReLU
Conv (5000, 1) Kernel Size: 1 Conv (2000, 1) Kernel Size: 1

Notes. The activation function (Act. value in the table) used is the rectified linear unit (ReLU) function.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.