Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Instance segmentation is an active topic in computer vision that is usually solved by using supervised learning approaches over very large datasets composed of object level masks. Obtaining such a dataset for any new domain can be very expensive and time-consuming. In addition, models trained on certain annotated categories do not generalize well t...
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Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
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TN_cdi_proquest_journals_2509122089
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2509122089
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2331-8422