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Unsupervised adversarial deep domain adaptation method for potato defects classification.

, , and . Comput. Electron. Agric., (2020)

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Unsupervised adversarial deep domain adaptation method for potato defects classification., , and . Comput. Electron. Agric., (2020)Sélection aléatoire d'espaces de représentation pour la décision binaire en environnement non-stationnaire: application à la segmentation d'images texturées., , and . Les Relations Spatiales, volume E-14 of RNTI, Cépaduès-Éditions, (2008)Color Features Comparison for Segments Matching., , and . CGIV, page 336-340. IS&T - The Society for Imaging Science and Technology, (2006)Feature subspaces selection via one-class SVM: Application to textured image segmentation., , and . IPTA, page 21-25. IEEE, (2010)Adaptive Color Quantization Using the "Baker's Transform"., , , and . CGIV, page 353-358. IS&T - The Society for Imaging Science and Technology, (2004)A Color Image Classification by Means of Image Transformations., and . CGIV, page 310-315. IS&T - The Society for Imaging Science and Technology, (2002)Dynamic Decision Method Based on Contextual Selection of Representation Subspaces., , , and . ICMLA, page 567-572. IEEE Computer Society, (2010)Weakly-supervised learning approach for potato defects segmentation., , and . Eng. Appl. Artif. Intell., (2019)Random feature subset selection in a nonstationary environment: Application to textured image segmentation., , and . ICIP, page 3028-3031. IEEE, (2008)A robust classification method using combined classifiers in a nonstationary environment., , and . EUSIPCO, page 679-683. IEEE, (2012)