SplineNets improve CNNs by using continuous functions that can be conditioned on inputs.
problem Efficiency and accuracy trade-offs in CNNs.
method Continuous generalization of neural decision graphs using B-splines.
result SplineNets can significantly increase accuracy with minimal runtime cost.