备注

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Batch Augmentation¶

Batch augmentation is the augmentation which involve multiple samples, such as Mixup and CutMix.

In MMClassification, these batch augmentation is used as a part of Classifier. A typical usage is as below:

model = dict(
    backbone = ...,
    neck = ...,
    head = ...,
    train_cfg=dict(augments=[
        dict(type='BatchMixup', alpha=0.8, prob=0.5, num_classes=num_classes),
        dict(type='BatchCutMix', alpha=1.0, prob=0.5, num_classes=num_classes),
    ]))
)

Batch Augmentation¶

Mixup¶

CutMix¶

ResizeMix¶