613 citations · 777 across the 19 of their papers we have counts for
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cs.CV2019★ 21 cited
Attention-based Dropout Layer for Weakly Supervised Object Localization
Junsuk Choe, Hyunjung Shim
Weakly Supervised Object Localization (WSOL) techniques learn the object location only using image-level labels, without location annotations. A common limitation for these techniq…
cs.CV2019★ 613 cited
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh +3
Regional dropout strategies have been proposed to enhance the performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to att…