Deep Learning Frameworks for Weakly-Supervised Indoor Localization

Farhad G. Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Ishaque Kadampot, Brian Buesker, Vamsi Vegunta, Fatih Porikli

Abstract: We present two weakly-supervised deep learning frameworks for person indoor localization through Wi-Fi signal. These two frameworks, namely OT-Isomap and WiCluster, in contrast with prior works, re...