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Two-Phase Learning For Weakly Supervised Object Localization

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), no. 1 (2017): 3554-3563

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Weakly supervised semantic segmentation and localization have a problem of focusing only on the most important parts of an image since they use only image-level annotations. In this paper, we solve this problem fundamentally via two-phase learning. Our networks are trained in two steps. In the first step, a conventional fully convolutiona...更多

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