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inhendrycks/natural-adv-examples (press backspace or delete to remove)Thank you for the dataset. What are the values in a file name? For example, in this one, 0.000116_digital clock _
digital clock_0.865662, the last value seems to be the probability, what is the first value? ...
fugokidi
- Opened on Apr 11, 2023
- #14
Hello,
thanks for the interesting work. Which resnet50 models did you use? Specifically, was the ResNet50_Weights.IMAGENET1K_V2
of pytorch https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html ...
ThomasNorr
- Opened on Dec 19, 2022
- #13
Hi, thanks for providing this dataset! I downloaded ImageNet-A following the link in the README of this repository and
had a look at the provided README to see which classes are available. I noticed that ...
expectopatronum
- 1
- Opened on Feb 11, 2022
- #12
I just use the code of https://www.kaggle.com/paultimothymooney/starter-kernel-for-imagenet-a-adversarial-examples and
load the model in the follow waynet = pvt_medium() checkpoint = torch.load(
../input/pvt-medium/4f268100-d9ba-11eb-8129-547eacb8081d ...
1104662797
- 1
- Opened on Dec 4, 2021
- #11
Hello @hendrycks ,
In your code, you are using the model s confidence scores on two the same imagenet-o datasets. Can you explain why you
do this? How do you compute the AUPR95 by two lists of confidence ...
giangnguyen2412
- 4
- Opened on Oct 4, 2021
- #10
Hey,
Thanks for your such great work. I am trying to run the eval.py to and use ResNet50 pretrained to get your result in
Figure 2. However, I am getting 0% accuracy for ResNet50.
Can you give me your ...
giangnguyen2412
- 7
- Opened on Sep 10, 2021
- #9
Is this folder like the structure as follows (from your code it should be like this): -n00001 emsp;-XXX.JPEG
emsp;-XXX.JPEG -n00002 emsp;-XXX.JPEG emsp;-XXX.JPEG
But my standard imagenet1k val dataset, ...
double-fire-0
- 1
- Opened on Jul 13, 2021
- #8
Hi. Hendrycks. Can you provide instructions to actually test custom pretrained models?
wjun0830
- Opened on Jul 5, 2021
- #7
Hi,
Thanks for making the two benchmarks public. I was wondering that when evaluating OOD detection performance on
ImageNet-O, did you fine-tune the model on the 200 selected classes, or just took the ...
zjysteven
- 1
- Opened on Jun 3, 2021
- #6
stable_cumsum
https://github.com/hendrycks/natural-adv-examples/blob/07770705658c3a1c8acce31fd9dbd68f06e297c3/calibration_tools.py#L144
needs to be imported.
sayakpaul
- 2
- Opened on Mar 24, 2021
- #5

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