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heng-yuwen avatar heng-yuwen commented on June 16, 2024 3

To make sure the network can take input with any size. The pooling layer will down sample the input so there is a limit of the input sample size. With padding, we can take inputs of any size, for example, 16*16 image. At the output, we crop the desired part which has the same shape as input.

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heng-yuwen avatar heng-yuwen commented on June 16, 2024

It's from the original code at https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/voc-fcn16s/net.py

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msy1412 avatar msy1412 commented on June 16, 2024

It's from the original code at https://github.com/shelhamer/fcn.berkeleyvision.org/blob/master/voc-fcn16s/net.py

emm.....I still don't understand why the padding of first conv layer in FCN32s is 100?

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