1. General Seminars
Learning with uncertainty for computer vision
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Europe/Rome
Aula Salvini (Laboratori Nazionali di Frascati)
Aula Salvini
Laboratori Nazionali di Frascati
Description
Representation learning is an important part of modern computer vision. Literature assumes a default Euclidean space, thus a manifold based on regular grids. Only most recently, hyperbolic spaces have enabled techniques to reach and surpass the state-of-the-art, supporting learning with hierarchical structures and uncertainty, also a by-product of hyperbolic representation learning. I will introduce our most recent work that leverages Hyperbolic Neural Networks for anomaly detection, self-supervised learning of actions, active learning of semantic segmentation, and reinforcement learning of robot navigation in social environments.
Learning with uncertainty for computer vision
Zoom Meeting ID
81006401444
Host
Maddalena Alessia Legramante
Zoom URL