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Segmentation Masks:
- [x] AugMix: https://github.com/keras-team/keras-cv/pull/1988
- [x] FourierMix: https://github.com/keras-team/keras-cv/pull/1991
- [ ] RandAugment
- [x] RandomCrop: https://gi…
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## 一言でいうと
画像の一部をDropするCutoutと、画像を合成するMixupを複合させて、Dropさせた箇所に別サンプルの画像をはめ込むCutMixという手法を提案。Cutoutは重要な特徴を落としてしまう可能性がある、Mixupは合成画像が不自然になるという双方の課題を克服し、双方を上回る精度を達成
![image](https://user-images.githubuse…
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Hi, was wondering if you have any COCO pre-trained models (and withFPN) for cutmix regularization under pytorch implementation yet? Any plans for future updates?
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Hi,
I have a few questions about the "Comparing Augmentation Methods" part of the paper and appreciate your help on them:
1- For this part, the experiments have only been performed on resnet50. Do…
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HI, the repo is a nice work, thanks for your sharing.
I want to know if these augmentation methods are effective,
like the RandomErasing/Mixup/RandAugment/Cutout/CutMix?
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Hi,
I am willing to download the models you've uploaded recently. Do you consider uploading them on something like google drive or dropbox ? Or is there a way to download them via link you provided …
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@naama-alon
https://github.com/hendrycks/robustness
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我在第一个阶段训练的时候,模型到了cutmix的地方出现了这个错误,应该怎么解决呢?
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使用cutmix=1增强后训练一开始会挂掉,未提示任何错。请问作者知道这是什么问题吗?还是对我的数据库有什么要求,我用mosaic=1是可以完全训练完的。