Entropy regularization for weakly supervised object localization

Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe

Abstract: Highlights•We devise the entropy regularization method as a new training strategy for WSOL.•The proposed regularization method is efficient in terms of computational overheads.•Our method is very easy to implement, requiring only one line of code.•We demonstrate the effectiveness of our method on five different datasets.