2024
DOI: 10.1016/j.engappai.2023.107791
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Survey: Image mixing and deleting for data augmentation

Humza Naveed,
Saeed Anwar,
Munawar Hayat
et al.
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Cited by 20 publications
(1 citation statement)
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“…Data enhancement is an essential data preprocessing method. Data augmentation aims to expand the size of the training dataset by making minor changes to existing data [7] . This is an essential step in the deep learning model training process, which can alleviate the problem of insufficient training data, thus reducing the overfitting phenomenon in deep learning model training and improving the neural network's performance.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…Data enhancement is an essential data preprocessing method. Data augmentation aims to expand the size of the training dataset by making minor changes to existing data [7] . This is an essential step in the deep learning model training process, which can alleviate the problem of insufficient training data, thus reducing the overfitting phenomenon in deep learning model training and improving the neural network's performance.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%