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Hi @sayakpaul
thanks for this wonderful work
I ran the model on the 5 class imageNet dataset it works like a charm there on my local infra.
for one of my custom model with ard 40 classes, th…
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你好~帅气的程序员哥哥~~想问一下这个报错要修改哪些文件
```
[2021/06/28 10:54:32] root INFO: Architecture :
[2021/06/28 10:54:32] root INFO: Backbone :
[2021/06/28 10:54:32] root INFO: model_name : small
[202…
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Pruning 한 모델을 Shrink 하려 하는데 다음과 같은 에러가 납니다.
densenet_small_lth.py 를 가지고 Pruning하였고 `../../model_compression/my_work/models/LTH/171_62_87.pth.tar ` 이 경로에 Pruning된 weight이 저장되어있는데 제가 잘못하고있는건가요?
```…
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Hi, thank you for your awesome works.
I have two simple questions about the batch size and the distributed training.
For this training example:
https://rwightman.github.io/pytorch-image-models/t…
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Thanks for your great work! This repo includes many state-of-the-art methods and is easy to reproduce. So I would like to ask for some advice about insight into tuning hyperparameters. There are many …
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Hi,
At first, thank you for sharing the training scripts. I really like your work which inspired me a lot.
1) There may be a bug in the `train.py` as mentioned in #38, which can be fixed by re…
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Hello, I tried to reproduce the result on COCO, I implemented my own framework and most of my files are the same as you, I only write my new train.py.
As is introduced in your paper, I have implement…
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Thanks for sharing the great work.
It might be interesting to compare FixMatch with supervised learning methods, given the same labeled data and model structure, to further demonstrate the power of…
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The RandAugment paper mentions to maximum magnitude values, 30 in the paper body and 20 in the appendix. In the implementation in this repository `_MAX_VALUE ` is 10. The magnitudes are all scaled by …
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Thank for your great works.
The results with your code show much higher accuracy compared to reported accuracy. (mobilenet v3 and efficientNet)
I want to know what is main different with paper.