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Generative Adversarial Networks for Unsupervised Object Co-localization
Our important finding is that high image diversity of GAN, which is a main goal in GAN research, is ironically disadvantageous for object localization, because such discriminators focus not only on the target object, but also on the various objects, such as background objects.
Improved Techniques For Weakly-Supervised Object Localization
To this end, we employ an effective data augmentation for improving the accuracy of the object localization.
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