End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Deep networks excel in learning patterns from large amounts of data. On the other hand, many geometric vision tasks are specified as optimization problems. To seamlessly combine deep learning and geometric vision, it is vital to perform learning and geometric optimization end-to-end. Towards this aim, we present BPnP, a novel …