48 citations · 138 across the 24 of their papers we have counts for
3 papers · 1 filter
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli, Pietro Zanuttigh
Deep learning architectures have shown remarkable results in scene understanding problems, however they exhibit a critical drop of performances when they are required to learn incr…
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
Umberto Michieli, Matteo Biasetton, Gianluca Agresti +1
Deep learning techniques have been widely used in autonomous driving systems for the semantic understanding of urban scenes. However, they need a huge amount of labeled data for tr…
Incremental Learning Techniques for Semantic Segmentation
Umberto Michieli, Pietro Zanuttigh
Deep learning architectures exhibit a critical drop of performance due to catastrophic forgetting when they are required to incrementally learn new tasks. Contemporary incremental…