1University of Trento,
2Fondazione Bruno Kessler,
3Hefei University of Technology,
4U2IS, ENSTA Paris, Institut Polytechnique de Paris,5Technical University of Munich, Munich Center for Machine Learning
TL;DR:
We introduce and explore the task of Semantic Multiple Clustering with the goal of automatically discovering grouping criteria from large image collections and uncovering corresponding interpretable substructures without relying on human input.