Learning with Average Precision: Training Image Retrieval with a Listwise Loss

Image retrieval can be formulated as a ranking problem where the goal is to order database images by decreasing similarity to the query. Recent deep models for image retrieval have outperformed traditional methods by leveraging ranking-tailored loss functions, but important theoretical and practical...

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Hauptverfasser: Revaud, Jerome, Almazan, Jon, de Rezende, Rafael Sampaio, de Souza, Cesar Roberto
Format: Artikel
Sprache:eng
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