Spatial Transformer Networks vs Deformable Convolutions
The main difference, as they mentioned in the paper, is that STN has a global parameter to transform the features. That is, it computes one set of parameters to transform the input. DC computes a 2D offset map for each location in the input, so for each location in the input features there is a separate transformation.