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Prior-based Hierarchical Segmentation Highlighting Structures of Interest.

, , and . Math. Morphol. Theory Appl., 3 (1): 29-44 (2019)

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Edge extraction by statistical dependence analysis: application to multi-angular WorldView-2 series., , and . IGARSS, page 3447-3450. IEEE, (2012)Prior-based Hierarchical Segmentation Highlighting Structures of Interest., , and . Math. Morphol. Theory Appl., 3 (1): 29-44 (2019)Dealing with Topological Information within a Fully Convolutional Neural Network., , , , , , , , and . CoRR, (2019)Characterizing Images by the Gromov-Hausdorff Distances Between Derived Hierarchies., , and . ICIP, page 1213-1217. IEEE, (2018)Deep learning for studies of galaxy morphology., , , and . Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 191-196. Cambridge University Press, (2016)On Power Jaccard Losses for Semantic Segmentation., , , , , , and . VISIGRAPP (5: VISAPP), page 561-568. SCITEPRESS, (2021)Contributions to Mathematical Morphology.. (2022)Near Out-of-Distribution Detection for Low-Resolution Radar Micro-doppler Signatures., , , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 384-399. Springer, (2022)Fully Trainable Gaussian Derivative Convolutional Layer., , and . ICIP, page 2421-2425. IEEE, (2022)Measuring the Irregularity of Vector-Valued Morphological Operators Using Wasserstein Metric., , , and . DGMM, volume 12708 of Lecture Notes in Computer Science, page 512-524. Springer, (2021)