METHODS FOR LEARNING OF PARAMETERS OF A CONVOLUTIONAL NEURAL NETWORK, AND DETECTION OF ELEMENTS OF INTEREST VISIBLE IN AN IMAGE

摘要

The present invention relates to a method for learning parameters of a convolutional neural network, CNN, by data processing means (11a, 11b, 11c) of at least one server (1a, 1b, 1c), for detection of visible elements of interest in images, the method being characterized in that it is implemented from a plurality of learning image databases in which said elements of interest are already annotated , the CNN being a CNN common to said plurality of learning image bases, and having a common core and a plurality of encoding layers each specific to one of said plurality of learning image bases. The present invention also relates to a method of detecting elements of interest visible in an image.