Image Data Augmentation

Computer Vision • 36 methods

Image Data Augmentation refers to a class of methods that augment an image dataset to increase the effective size of the training set, or as a form of regularization to help the network learn more effective representations.

Subcategories

Method Year Papers
2017 219
2020 190
2000 133
2000 90
2000 83
2000 77
2019 75
2018 50
2017 41
2019 34
2019 11
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2000 9
2020 6
2019 5
2000 5
2021 3
2019 3
2019 3
2020 2
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2020 2
2020 2
2020 2
2000 2
2019 1
2020 1
2020 1
2021 1
2020 1
2000 1
2020 1