Alex Foo

Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization

Discovering object-centric representations from images has the potential to greatly improve the robustness, sample efficiency and interpretability of machine learning algorithms. Current works on multi-object images typically follow a generative approach that optimizes for input reconstruction and f…