A novel dataset of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations that include the classical neutral-apex transition, but generalize to e... read more of CL2R: Compatible Lifelong Learning Representations

Using stationary representations, CoReS trains models to obtain compatible representations, eliminating costly re-indexing in retrieval systems during upgrades. read more of CoReS: Compatible Representations via Stationarity