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On power Jaccard losses for semantic segmentation

Abstract : In this work, a new generalized loss function is proposed called power Jaccard to perform semantic segmentation tasks. It is compared with classical loss functions in different scenarios, including gray level and color image segmentation, as well as 3D point cloud segmentation. The results show improved performance, stability and convergence. We made available the code with our proposal with a demonstrative example.
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https://hal.archives-ouvertes.fr/hal-03139997
Contributor : David Duque Connect in order to contact the contributor
Submitted on : Friday, February 12, 2021 - 2:18:36 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:03 PM
Long-term archiving on: : Friday, May 14, 2021 - 9:32:47 AM

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  • HAL Id : hal-03139997, version 1

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David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, Francois Goulette, Andrés Serna, et al.. On power Jaccard losses for semantic segmentation. VISAPP 2021 : 16th International Conference on Computer Vision Theory and Applications, Feb 2021, Vienne (on line), Austria. ⟨hal-03139997⟩

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