A computer-implemented training method, classification method and system, computer program and computer-readable recording medium KU Leuven
Marc Proesmans, Wouter Van Gansbeke, Luc Van Gool, Simon Vandenhende, Wim Abbeloos, Stamatios Georgoulis
A computer-implemented method for training a classifier (Φη), comprising: S10) training a pretext model (ΦΘ) to learn a pretext task, so as to minimize a distance between an output of a source sample via the pretext model (ΦΘ) and an output of a corresponding transformed sample via the pretext model (ΦΘ), the transformed sample being a sample obtained by applying a transformation (T) to the source sample ; S20) determining a neighborhood (NXi) of samples (Xi) of a dataset (SD) in the embedding space; S30) training the classifier (Φη) to predict respective estimated probabilities Φηj(Xi), ...