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Hi
Can you please verify the adversarial patch size used for evaluating ImageNet trained models (b=19) in Table 1 of paper:
1% pixels: 23x23
2% pixels: 32x32
3% pixels: 39x39
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As per the readme file, I have provided the path of the dataset and executed the command
python create_imagenet_filelist.py cfg/dataset.cfg
In result, a new empty folder is created titled with…
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wget https://s3.amazonaws.com/lasagne/recipes/pretrained/imagenet/vgg19.pkl
I cant access to the imagenet vgg19 which is crucial to using this code implementation.
I get access forbidden. Any idea…
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Hi,
when I try to do the second step of the training
`export SPEAKER_PATH_PREFIX=tasks/R2R/speaker/snapshots/speaker_teacher_imagenet_mean_pooled_train_iter_20000`
it fails because the files avail…
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Hi @KaimingHe,
thank you for your wonderful work and initiative to open-sourcing it.
I have been banging my head against this for a month now and any help would be deeply appreciated!
I am tryi…
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Hi, I was trying to inject faults with TensorFI2 in different pre-trained models in Keras with the ImageNet dataset. I was able to successfully inject faults with VGG16, VGG19, and MobileNet. However,…
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Hello, I am interested in your HCT. And I try to understand your paper and code.
Now, I have some problems about the code.
First, about pre-train:
You know, in few shot learning, the most popula…
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the drop_path_prob is set as 0, but the paper said it follows "Regularized evolution for image
classifier architecture search", which set 0.3.
Does it matter??
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When I run your code, I found there will be a runtime error:
```
OutOfRangeError (see above for traceback): RandomShuffleQueue '_1_data/shuffle_batch/random_shuffle_queue' is closed and has insuffic…
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