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Dear iancovert
I hope this email finds you well.
I have been working with the code you provided on GitHub and had a few questions regarding the AUROC calculation. Specifically, I would like to u…
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**Describe the bug**
When trying to train data (either with my own data or the stardard Danum training example set), it stops and throws an error. We use all the defaults. Using BirdNET version downl…
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Hi Housen, about the metrics part, you defined the num_classes = num_frames if scd is True, but in the initial part, the num_classes = 1 if scd is True. Could you please tell the reason behind this?
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great work!
But when I try to reproduce this program, the metrics “I-Auroc、I-F1、I-AP” is always zero.
is right?
```shell
0%| | 0/5 [00:00
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Hello, may I ask the difference between the Evaluation Metrics.:Pixel Auroc, Sample Auro0.991, Pixel Aupr0.971 in your paper and the Evaluation Metrics.:Image level-AUROC, pixel based-AUROC?
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Possibly due to the altered dataloaders, on organXmnist, tissuemnist and pathmnist, execution hangs on AUROC calculation after training and testing is done in [main_linear.py](https://github.com/Karah…
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Hello,
I have a question regarding Supplementary Table 2, which presents AUROC metrics. In your code, AUROC is implemented using sklearn.metrics.roc_auc_score. I noticed that when all predictions are…
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Hello!
I wonder if the detection AUROC snd segmentation AUROC have the same behavior. In other words, when the model achieves the best seg_auroc,should it be when it has also the best detection_auro…
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There is no denying that promptAD is a very impressive work and thanks for the open resoursing for the knowledge broadcast in the field of AD.
But for those who is familiar with the mvtec dataset, t…
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`Our proposed PSAD and other comparison methods are evaluated using image AUROC scores. As there is no ground truth for segmentation task`.
However, I see mvtec_loco_ad provides the segmentation mas…