Image Data Augmentation

Computer Vision • 23 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.

Method Year Papers
2017 149
2000 96
2000 77
2019 54
2000 53
2018 43
2000 41
2017 37
2019 20
2000 7
2019 7
2017 6
2000 5
2019 5
2019 3
2000 2
2020 2
2019 1
2000 1
2020 1
2020 1
2020 1
2020 1