Shifting deep learning models from lab environments to real-world settings entails preparing
them to handle unforeseen conditions, including the chance of encountering novel objects …

The rise of foundation models is pushing Computer Vision research towards a paradigm
shift, in the wake of what already happened in the Natural Language Processing field. These …

Standard recognition approaches are unable to deal with novel categories at test time. Their
overconfidence on the known classes makes the predictions unreliable for safety-critical …

Machine learning technologies have been part of our lives for a long time, as proven by
widely spread applications such as automatic spam filtering and face recognition cameras …

Moving deep learning models from the laboratory setting to the open world entails preparing
them to handle unforeseen conditions. In several applications the occurrence of novel …

Moving deep learning models from the laboratory setting to the open world en-tails
preparing them to handle unforeseen conditions. In several applications the occurrence of …

In these days the world is wondering about the potentialities and risks of artificial intelligence
models trained on a huge amount of data and computational resources. While this debate is …