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Unsupervised Object Localization driven by self-supervised foundation models: A comprehensive review
DOI:10.1016/j.imavis.2025.105807.png)
Abstract
En 中文
• We cover the latest unsupervised object localization methods beyond prior surveys. • We include semantic labeling and instance separation - missing in earlier overviews. • We benchmark on diverse datasets with detailed implementation settings.
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