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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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