Comments (2)
@GengDavid
We have tried CutMix-pretrained model on MS-COCO detection task whose framework and backbone are Faster-RCNN and ResNet-50, respectively.
Results of ResNet50-Faster-RCNN:
Backbone | mAP |
---|---|
Baseline | 33.27 |
Mixup-Pretrained | 34.18 |
Cutout-Pretrained | 34.28 |
CutMix-Pretrained | 35.16 |
CutMix-Pretrained shows a meaningful improvement in MS-COCO detection!
from cutmix-pytorch.
Excited to know that! Thanks 😄
from cutmix-pytorch.
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