Hi there~
You said below in ablation study
Boundary Pred adds the boundary prediction branch to our CNN.
Does the 'Boundary Pred' mean below
In order to help the model see image boundaries, we supervise two additional branches, i.e. an edge branch and a vertex branch, on top of the CNN encoder’s feature map F c , both of which consist of one 3 × 3 convolutional layer and one fully-connected layer. These branches are trained to predict the probability of existence of an object edge/vertex on a 28 × 28 grid.
I am a little confused, because the GCN also predict the boundary.
Hi there~ You said below in ablation study
Boundary Pred adds the boundary prediction branch to our CNN.Does the 'Boundary Pred' mean belowIn order to help the model see image boundaries, we supervise two additional branches, i.e. an edge branch and a vertex branch, on top of the CNN encoder’s feature map F c , both of which consist of one 3 × 3 convolutional layer and one fully-connected layer. These branches are trained to predict the probability of existence of an object edge/vertex on a 28 × 28 grid.I am a little confused, because the GCN also predict the boundary.