We test moreover a model that is trained with supervision to predict attributes and then deterministically computes the discriminative attributes.
we implemented a neural network with one hidden layer, which takes as input a visual instance, and it is trained to predict its gold attribute vector, casting the problem as logistic regression, thus relying on supervision at the attribute level.