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Oversegmentation methods: a new evaluation

Mathieu, Bérengère and Crouzil, Alain and Puel, Jean-Baptiste Oversegmentation methods: a new evaluation. (2017) In: Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2017), 20 June 2017 - 23 June 2017 (Faro, Portugal).

(Document in English)

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Official URL: https://doi.org/10.1007/978-3-319-58838-4_21


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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 10255 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-58837-7 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-58838-4_21
HAL Id:hal-01913671
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Ecole Nationale Supérieure de Formation de l'Enseignement Agricole - ENSFEA (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
ANR-11-LABX-0040-CIMI within the program ANR-11-IDEX-0002-02
Deposited On:24 Sep 2018 13:24

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