Deep learning-based recognition systems are deployed at scale for severa...
In this paper, we present the details of Women in Computer Vision Worksh...
Semantic novelty detection aims at discovering unknown categories in the...
The ability to evolve is fundamental for any valuable autonomous agent w...
Vision systems trained in closed-world scenarios will inevitably fail wh...
Thanks to the great progress of machine learning in the last years, seve...
Scene classification is one of the basic problems in computer vision res...
Human adaptability relies crucially on learning and merging knowledge fr...
Open Set Domain Adaptation (OSDA) bridges the domain gap between a label...
Despite impressive progress in object detection over the last years, it ...
Although deep networks have significantly increased the performance of v...
Domain adaptation approaches have shown promising results in reducing th...
Human adaptability relies crucially on the ability to learn and merge
kn...
Typically a classifier trained on a given dataset (source domain) does n...