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A Survey of Synthetic Data Augmentation Methods in Machine Vision · Peerford

Article · Journal · 2024

A Survey of Synthetic Data Augmentation Methods in Machine Vision

Alhassan Mumuni, Fuseini Mumuni, Nana Kobina Gerrar

Machine Intelligence Research

Open access · Hybrid
World top 1%

Read it 10.1007/s11633-022-1411-7

Citations: 113from other works
Field-weighted impact: 16.421.00 is the world average for its field and year
Among its field: Top 1%by citations, against works of its field and year
Authors: 3from 2 institutions

Authors

3 authors across 2 institutions in 1 country

Alhassan MumuniFirst authorCorresponding
- Cape Coast Technical University (GH)
Fuseini Mumuni
- University of Mines and Technology (GH)
Nana Kobina GerrarSenior author
- Cape Coast Technical University (GH)

Country

Ghana

Fields

A work can sit in several, each with a score

Generative Adversarial Networks and Image SynthesisTopic

Advanced Vision and ImagingTopic

3D Shape Modeling and AnalysisTopic