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Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization

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Weakly supervised object localization (WSOL) tasks aim to classify and locate a single object under the supervision of only image-level labels. Pseudo-supervised learning methods have been shown to be effective for WSOL. These methods divide WSOL tasks into two decoupled subtasks: classification and localization. https://www.mylittlewardrobers.shop/product-category/teethers/
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