Oversegmentation methods: a new evaluation

Abstract : Using superpixels instead of pixels has become a popular pre-processing step in computer vision. Currently, about fifteen oversegmentation methods have been proposed. The last evaluation, realized by Stutz et al. in 2015, concludes that the five more competitive algorithms achieve similar results. By introducing HSID, a new dataset, we point out unexpected difficulties encountered by state-of-the-art oversegmentation methods.
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Communication dans un congrès
Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017), Jun 2017, Faro, Portugal. Pattern Recognition and Image Analysis, pp. 185-193, 2017
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Soumis le : mardi 6 novembre 2018 - 14:39:48
Dernière modification le : samedi 10 novembre 2018 - 01:17:18
Document(s) archivé(s) le : jeudi 7 février 2019 - 15:13:42

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  • HAL Id : hal-01913671, version 1
  • OATAO : 19094

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Bérengère Mathieu, Alain Crouzil, Jean-Baptiste Puel. Oversegmentation methods: a new evaluation. Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017), Jun 2017, Faro, Portugal. Pattern Recognition and Image Analysis, pp. 185-193, 2017. 〈hal-01913671〉

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