1 code implementation • 16 Nov 2022 • Niccolo Biondi, Federico Pernici, Matteo Bruni, Daniele Mugnai, Alberto del Bimbo
We identify stationarity as the property that the feature representation is required to hold to achieve compatibility and propose a novel training procedure that encourages local and global stationarity on the learned representation.
no code implementations • 12 Oct 2021 • Daniele Mugnai, Federico Pernici, Francesco Turchini, Alberto del Bimbo
Our approach leverages unlabeled data with an adversarial optimization strategy in which the internal features representation is obtained with a second-order pooling model.