# DAVIDSTUTZ

Check out our latest research on adversarial robustness and generalization of deep networks.
13thMARCH2018

Although the above descriptions do not go into detail (see the paper for the corresponding definitions), it is interesting that Tulsiani et al. predict a maximum set of $M$ cuboids by predicting the parameters of each cuboid and a rotation matrix as well as a translation vector. In addition, the network predicts a score for each cuboid indicating how probable the cuboid is to be part of the abstraction.