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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

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. 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…

Cite Related research LOR-00056 · 10 views · 27 downloads Select “How Many Classes Are Out There? In Category Discovery the…” for export

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

Pranay Mahendrakar 2026

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. 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…

Cite Related research LOR-00015 · 7 views · 19 downloads Select “A Failure to Reject Is Not a Finding: Closed-Set Accuracy…” for export

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