Optimization of Rank Losses for Image Retrieval
In image retrieval, standard evaluation metrics rely on score ranking, e.g. average precision (AP), recall at k (Rk), normalized discounted cumulative gain (NDCG). In this work, we introduce a general framework for robust and decomposable rank losses optimization. It addresses two major challenges f...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 20. Feb.
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| Auteur principal: |
Ramzi, Elias
(Auteur) |
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| Autres auteurs: |
Audebert, Nicolas,
Rambour, Clement,
Araujo, Andre,
Bitot, Xavier,
Thome, Nicolas |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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