Skip to main content
  • CIS
    Members: Free
    IEEE Members: Free
    Non-members: Free
    Length: 01:11:24
20 Jul 2022

The need to have annotated data to train a model, is one of the
weaknesses of the technologies based on Deep Learning, especially in
operational scenarios where it is not possible to annotate data in a
reasonable time frame or in cases where you do not have enough data
available related to rare scenarios. The purpose of this panel deals
with issues related to methodologies for training neural networks with
little data, using Self Supervised Learning techniques.