December 15, 2015
Learning to Segment Object Candidates
In this paper, we propose a new way to generate object proposals, introducing an approach based on a discriminative convolutional network. Our model obtains substantially higher object recall using fewer proposals. We also show that our model is able to generalize to unseen categories it has not seen during training.
By: Pedro Oliveira, Ronan Collobert, Piotr Dollar
Facebook AI Research