SELF-SUPERVISED LEARNING OF AMBIGUOUS ZONE OF AN EMBEDDING SPACE

原文（中文）

A method for self-supervised learning of ambiguous zone embedding space, the method includes identifying, by a processing circuit and during a validation process of a first neural network, a set of embeddings that represent a group sensed information units that are associated with a classification confidence level below a threshold; wherein the first neural network was trained by a supervised training process; the set of embeddings defining an ambiguous zone; and triggering a training of a second neural network, in a self-supervised learning process, across the group of sensed information unit.