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Journal articles
Weakly-supervised learning approach for potato defects segmentation
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LM2S - Laboratoire Modélisation et Sûreté des Systèmes (UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX - France)
- ICD - Institut Charles Delaunay (12, rue Marie Curie BP 2060 - 10010 Troyes Cedex - France)
- UTT - Université de Technologie de Troyes (12 rue Marie Curie CS 42060 10004 TROYES CEDEX - France)
- CNRS - Centre National de la Recherche Scientifique : UMR6281 (France)
Complete list of metadatas
https://hal-utt.archives-ouvertes.fr/hal-02307681
Contributor : Pierre Beauseroy <>
Submitted on : Monday, October 7, 2019 - 6:06:45 PM
Last modification on : Wednesday, October 9, 2019 - 1:37:45 AM
Contributor : Pierre Beauseroy <>
Submitted on : Monday, October 7, 2019 - 6:06:45 PM
Last modification on : Wednesday, October 9, 2019 - 1:37:45 AM
Identifiers
- HAL Id : hal-02307681, version 1
- DOI : 10.1016/j.engappai.2019.06.024
Citation
Sofia Marino, Pierre Beauseroy, André Smolarz. Weakly-supervised learning approach for potato defects segmentation. Engineering Applications of Artificial Intelligence, Elsevier, 2019, 85, pp.337-346. ⟨10.1016/j.engappai.2019.06.024⟩. ⟨hal-02307681⟩
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