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Dual-attention Focused Module for Weakly Supervised Object Localization
[article]
2019
arXiv
pre-print
The research on recognizing the most discriminative regions provides referential information for weakly supervised object localization with only image-level annotations. However, the most discriminative regions usually conceal the other parts of the object, thereby impeding entire object recognition and localization. To tackle this problem, the Dual-attention Focused Module (DFM) is proposed to enhance object localization performance. Specifically, we present a dual attention module for
arXiv:1909.04813v1
fatcat:cpki345fbvdmnkdpzdnblnrhyu