Weakly-supervised learning approach for potato defects segmentation

Sofia Marino; Pierre Beauseroy; André Smolarz

doi:10.1016/j.engappai.2019.06.024

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Weakly-supervised learning approach for potato defects segmentation

Sofia Marino Pierre Beauseroy André Smolarz

Year: 2019 Journal: Engineering Applications of Artificial Intelligence Vol: 85 Pages: 337-346 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2019.06.024

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Keywords:

Computer science Artificial intelligence Convolutional neural network Segmentation Discriminative model Pattern recognition (psychology) Leverage (statistics) Machine learning Task (project management) Market segmentation

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Topics

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Identification and Quantification in Food

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Weakly-supervised learning approach for potato defects segmentation

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