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Hi, I see a number of people asked questions about where the code for progressive learning was located exactly in the repo. I also couldn't find it. I was wondering if anyone was able to identify wh…
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LB : 0.3391 BASE MODEL : UNET
데이터를 밑의 코드처럼 변경해서 학습을 진행하였습니다.
train_transform = A.Compose([
A.HorizontalFlip(p=0.5),
A.RandomRotate90(p=…
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Hello!
I am currently using the discriminator only in a custom GAN but I am often noticing that the decoder output produces checkerboard patterns. Even when useful information is seen, the checkerboa…
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感谢作者的工作！ 看了下源码好像只是简单的randomflip了。
1.请问作者在数据增强部分放弃了transformer比较常用的mixup和cutmix是吗？
2.请问是没有进行归一化吗？是发现不进行归一化效果更好吗？
如果能抽空回答，感激不尽。
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- https://arxiv.org/abs/2012.11101
- 2020
データオーグメンテーションは、データの多様性を高める強力な手法であり、画像認識タスクにおけるニューラルネットワークの汎化能力を効果的に向上させることができる。
最近のデータミキシングに基づく補強戦略は大きな成功を収めています。
特に、CutMixは、ある画像からパッチをランダムに切り取り、別の画像に貼り…
e4exp updated
3 years ago
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When the training started, I got this error. Could you please help to fix that? Thanks
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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。
Hi, I am wondering you are using mosaic=1 with Classifier or Detector?
_Originally posted by @Tianyi-THU in https:…
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Data augmentation:
- [ ] Random Resized Crop
- [x] Horizontal Flip
- [ ] Random Augment (see [code](https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/autoaugment.py#L672)…
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## 論文へのリンク
[[arXiv:2002.12655] A U-Net Based Discriminator for Generative Adversarial Networks](https://arxiv.org/abs/2002.12655)
## 著者・所属機関
Edgar Schönfeld, Bernt Schiele, Anna Khoreva
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- 自己教師あり学習
https://www.guruguru.science/competitions/17/discussions/a39d588e-aff2-4728-8323-b07f15563552/
- TTA
https://www.guruguru.science/competitions/17/discussions/4864ee81-6336-4cad-bb74-a4…
ju-ki updated
2 years ago