Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
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DOI: 10.1109/access.2023.3246259
Abstract: 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… read more here.
Keywords: localization; confidence pseudo; pseudo labels; pseudo ... See more keywords