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In the experiment section of the report, you mention:
> Such a comparison is not exactly fair because the feed-forward model uses stronger training augmentations.
I wonder what the **augmentatio…
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Hello, I'm a student from Postech.
It was interesting to follow your work.
But, I think the following code is inconsistent with the paper.
https://github.com/clovaai/CutMix-PyTorch/blob/2d8eb68fa…
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Thank you for the inspiring work! I have read the paper and the code, and would like to raise a question about the selection of the training hyper-parameters. Specifically, I found that you use custom…
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Hello,
I've managed to add Cutmix and Mosaic data augmentations from Yolov4 and the DataLoader works fine but there seems to be an error with the loss while training with them. Should I submit a pu…
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Hi.
I ran your code with the same instructions on README as well as #7.
however I still couldn't get the reported performance.
I am very curious that Is there any version dependency for this issue…
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In order to implement mixup/cutmix, we'll manipulate data in a mini-batch, i.e. [official mixup code](https://github.com/facebookresearch/mixup-cifar10/blob/master/train.py#L119-L134)
I run through…
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How do I modify these reference to convert onnx model to TensorRT for the Higher end GPUs like RTX 2080, a5000.
Or does it only support Jetson family. Bigger questions: Does these GPUs support Tensor…
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class CutmixImage(BaseOperator):
def __init__(self, alpha=1.5, beta=1.5):
"""
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features, see https://…
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**CutMix**: Regularization Strategy to Train Strong Classifiers with Localizable Features
* paper: https://arxiv.org/abs/1905.04899v2
* source: https://github.com/clovaai/CutMix-PyTorch
Use for…
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## 🚀 Feature
Thinking to file a pr for transform module which consist inhouse transformations which are not present torch.transforms.
### Motivation
Gridmask, mosaic, mixup, cutmix, etc
above augm…