Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains - Concepedia

Concepedia

Publication | Open Access

Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains

DOI Full Paper Access

56

Citations

28

References

2020

Year

Benjamin Bourel, Ross Marchant, Thibault de Garidel‐Thoron, Martin Tetard, Doris Barboni, Yves Gally, Luc Beaufort

Computers & Geosciences

BiologyImage ClassificationConvolutional Neural NetworkImage AnalysisPollen GrainsBotanyEngineeringPattern RecognitionNatural SciencesEvolutionary BiologyPollen DiagramDeep Learning

References

	Year	Citations

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