Image Data Augmentation

Computer Vision • 45 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 517
2020 490
2000 258
2000 214
2000 212
2019 173
2000 78
2017 59
2018 57
2019 57
2020 46
2020 31
2019 15
2017 14
2000 10
2021 10
2000 9
2021 8
2019 6
2019 4
2020 3
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2020 3
2020 3
2019 3
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2020 2
2022 2
2020 2
2000 2
2022 1
2019 1
2022 1
2023 1
2023 1
2021 1
2020 1
2021 1
2020 1
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2000 0