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. https://www.hindigyanvishv.com/flash-deal-Iowa-Cubs-Foam-Finger-p32059-hot-value/