Equivariant to translation means that a translation of input features results in an equivalent translation of outputs. The equivariance allows the network to generalise edge, texture, shape detection in different locations.
Invariant to translation means that a translation of input features doe not change the outputs at all. The invariance allows precise location of the detected features to matter less. These are two complementary types of generalisation for many image processing tasks
