4. The method of claim 1 , wherein the encoding module is operable to encode the features into the distributive representation by applying a first recurrent neural network.
5. The system of claim 4 , wherein the decoding module is operable to decode the distributive representation for each of the candidate regions into the one or more output representations by applying a second recurrent neural network.