Module of Axis-based Nexus Attention for weakly supervised object localization
Abstract Weakly supervised object localization tasks remain challenging to identify and segment an entire object rather than only discriminative parts of the object.To tackle this problem, corruption-based approaches have been devised, which involve the training of non-discriminative regions by corrupting (e.g., erasing) the input images or interme