Reputation: 41
Is every symmetrical fully convolutional network a Unet?
Does the skip connections between the downsampling path and the upsampling path always need to apply a concatenation operator instead of a sum? What difference does it make if we use sum?
Can I assume that if a network has unequal no. of upsampling and downsampling layers, it is an FCN and not a Unet?
Upvotes: 0
Views: 1136
Reputation: 86600
Every UNet is a FCN, but they can have extra techniques appended.
There isn't an "exact UNet", you can make lots of changes. In the last image segmentation competition I participated, everyone talked about modified UNets with customized decoder sides.
They can concatenate the connections, sum, multiply. There are even attention mechanisms to be used. A lot of people created UNets from ResNets, for instance.
The UNets are just nets that have two sides, down and upsampling, with connections between.
Upvotes: 1