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Really nice work and super impressive results on the low-data regime (shown in Table 4, also pasted as following)!!
![image](https://user-images.githubusercontent.com/4639578/97782461-9ad71f80-1bcc…
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Hello,
I haven't made any modifications to the code. I cloned it, installed the requirements, and ran the script for training. No other options, no custom data.
As you can see, it ran train.py tw…
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Dear author
I have reproduced your code using 64 V100 GPUs. Every setting is the same as paper (batch size 4096), The end-to-end finetuning is almost the same as paper. However, the linear pro…
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I am using this b7 model in efficientNet , but getting huge losses , can't able to figure out where I am going wrong
# downloading the pretrained model - efficientnet b7
```
!pip install effici…
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on their github
https://github.com/facebookresearch/mixup-cifar10
they explain how to run training on cifar10
- if we want to run on cifar100 we need to update the code , and make sure someone (…
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Hi,
first of all, just wanted to appreciate lhotse being a great tool and its lively community.
My problem is that i wish to mix 2 CutSets with some length variations. So i wanted to do something …
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Hi, I train a vit_base_patch32 model with reslution 224 on imagenet, the valid acc comes up to 73.38%, then I dump all transformer blocks' outputs, calculate cosine similarity between them as mentione…
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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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I am getting "Killed" error message after some number of iterations (ranges from 30 to 70)
Error
```
(next mAP calculation at 1000 iterations)
30: 3370.036133, 3351.016846 avg loss, 0.000000 r…
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I am running YOLOv4 using adversarial training however I keep getting the error 'cannot open display' and I am using the -dont_show flag.
I have tried setting adversarial_lr to 1 and 0.05 but I am…