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Fine-Grained Attention for Weakly Supervised Object Localization

By Junghyo Sohn and others
Although recent advances in deep learning accelerated an improvement in a weakly supervised object localization (WSOL) task, there are still challenges to identify the entire body of an object, rather than only discriminative parts. In this paper, we propose a novel residual fine-grained attention (RFGA) module that autonomously excites the... Show more
April 11, 2021
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Fine-Grained Attention for Weakly Supervised Object Localization
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