Weakly-supervised learning approach for potato defects segmentation

Sofia Marino; Pierre Beauseroy; André Smolarz

doi:10.1016/j.engappai.2019.06.024

Journal Articles Engineering Applications of Artificial Intelligence Year : 2019

Weakly-supervised learning approach for potato defects segmentation

(1) , (1) , (1)

1

Sofia Marino

Function : Author

Laboratoire Modélisation et Sûreté des Systèmes

Pierre Beauseroy

Function : Author
PersonId : 740818
IdHAL : pierre-beauseroy
ORCID : 0000-0002-2883-1303
IdRef : 060223294

Laboratoire Modélisation et Sûreté des Systèmes

André Smolarz

Function : Author
PersonId : 856088

Laboratoire Modélisation et Sûreté des Systèmes

Domains

Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Image Processing [eess.IV] Statistics [stat] Machine Learning [stat.ML]

Fichier principal

S0952197619301630.pdf (12.81 Mo)

Origin : Files produced by the author(s)

Accord Elsevier CCSD : Connect in order to contact the contributor

https://hal-utt.archives-ouvertes.fr/hal-02307681

Submitted on : Monday, October 25, 2021-1:58:34 PM

Last modification on : Wednesday, August 31, 2022-6:55:03 PM

Long-term archiving on: Wednesday, January 26, 2022-8:21:30 PM

Dates and versions

hal-02307681 , version 1 (25-10-2021)

Licence

Attribution - NonCommercial - CC BY 4.0

Identifiers

HAL Id : hal-02307681 , version 1
DOI : 10.1016/j.engappai.2019.06.024
PII : S0952-1976(19)30163-0

Cite

Sofia Marino, Pierre Beauseroy, André Smolarz. Weakly-supervised learning approach for potato defects segmentation. Engineering Applications of Artificial Intelligence, 2019, 85, pp.337-346. ⟨10.1016/j.engappai.2019.06.024⟩. ⟨hal-02307681⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS UTT UTT-LIST3N UTT-FULL-TEXT LM2S-UTT

45 View

31 Download

Weakly-supervised learning approach for potato defects segmentation

Domains

Dates and versions

Licence

Identifiers

Cite

Export

Collections

Altmetric

Share