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Label granularity

2 open-access journal articles on label granularity, published in 2026 in Life of Research. Every record is free to read and download, with a permanent link and a ready-made citation.

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Journal article

How Many Classes Are Out There? In Category Discovery the Class Count Is Granularity Carried Over From the Labelled Set, Supplying It Can Supply the Taxonomy, and Without It the Count Is Set by a Hyperparameter

Category discovery asks a model to sort an unlabelled image collection into classes, some of which it has never been shown, using a labelled subset of other classes as its guide. Almost every method needs one number before it can produce an answer: how many classes the unlabelled data contains…

Cite Related research LOR-00056 · 10 views · 26 downloads
PDF6.6 MB

Journal article

A Failure to Reject Is Not a Finding: Closed-Set Accuracy, Specialized Open-Set Recognition, and the Semantic-Distance Parameter the Deflationary Debate Leaves Free

A widely cited result reports that the open-set performance of an image classifier is strongly correlated with its closed-set accuracy, and that a well-trained baseline scoring rule is competitive with specialized open-set machinery. The result is often read as showing that specialized open-set…

Cite Related research LOR-00015 · 7 views · 19 downloads
PDF509.1 KB

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