Image augmentation using DETR transformer to select a patch with DeMix
Image augmentation using DETR transformer to select a patch with DeMix
Use the Detection Transformer as a Data Augmenter
arXiv paper abstract https://arxiv.org/abs/2304.04554
arXiv PDF paper https://arxiv.org/pdf/2304.04554.pdf
Detection Transformer (DETR) is a Transformer architecture based object detection model ... that it can also be used as a data augmenter ... term ... approach ... DeMix ...
DeMix builds on CutMix ... augmentation ... improves model performance by cutting and pasting a patch from one image onto another, yielding a new image.
... label ... is ... weighted average of ... labels, where the weight is proportional to the area of the patches.
CutMix selects a random patch to be cut ... In contrast, DeMix elaborately selects a semantically rich patch, located by a pre-trained DETR.
The label of the new image is specified in the same way as in CutMix.
... results on ... image classification demonstrate that DeMix significantly outperforms prior art data augmentation methods including CutMix.
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