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I want to reproduce the result using CLEVER, but it seems the imagenet dataset link in your readme is not available now. Could you please tell me about the imagenet test set you used for CLEVER score,…
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Hello,
We have been using your code and getting great results! Can I confirm that evaluation.calc_FID is not compatible with the results from evaluations/calc_ref_stats? I am trying to log FID scores…
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### Task description
Create a script that would use to train a CNN to classify diseases from plant leaf images.
The important things to consider are:
- choosing the right CNN (based on number of p…
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I'm interested in pretraining DINOv2 on my own custom dataset, starting from the ImageNet-1K pretrained weights. Specifically:
1. Is it possible/recommended to continue pretraining DINOv2 on a cust…
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I am running the cell with `make_interleaved_dataset` call.
The full exception message is
```
DatasetNotFoundError: Dataset bridge_dataset not found.
Available datasets:
- abstract_reasoning
…
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### Issue Type
Bug
### Source
source
### MCT Version
2.2.1
### OS Platform and Distribution
WSL Ubuntu 24.04.1 LTS
### Python version
3.12.3
### Describe the issue
The mct.ptq.pytorch_post_…
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As written in the README, the results on ImageNet are not good like the paper.
Can you tell me how different the accuracy results are?
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I find no clue about this less used dataset. Could you give a link?
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Is it possible to support LMDB for ImageNet as this one `https://github.com/pytorch/vision/blob/master/torchvision/datasets/lsun.py#L22`. One benefit is that we do not need to save 1.28 M small images…
D-X-Y updated
4 years ago
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Hello author,
In your paper, the ImageNet dataset achieves an impressive accuracy of 75.92% with T=1 and ResNet-104. However, I am only able to achieve 70.56% accuracy using parameters consistent wit…