Image Data Augmentation

Computer Vision • 39 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 357
2020 333
2000 189
2000 144
2000 142
2019 127
2000 78
2018 52
2017 51
2019 48
2020 19
2019 12
2000 10
2017 10
2019 6
2000 5
2021 4
2019 4
2020 3
2020 3
2019 3
2020 2
2020 2
2020 2
2000 2
2019 1
2000 1
2021 1
2022 1
2020 1
2021 1
2020 1
2000 1
2020 1
2022 1