Is there any restriction regarding classes definition? about anomaly-seg HOT 5 CLOSED

Since I don't know about your application area, here's general ML advice: If there's evidence of overfitting, try more model regularization.

from anomaly-seg.

Thanks for your response.
Maybe it's better to explain my issue in another way.
So as far as I understand, the anomaly object in your dataset is labeled as "13". I was looking through your training dataset and found images that are labeled as "13". On the other hand, I expect that anomalous objects do not exist in the training.
Is it caused by my misunderstanding?
Best,
Sadaf

from anomaly-seg.

Since I don't know about your application area, here's general ML advice: If there's evidence of overfitting, try more model regularization.

Thanks for your response!
I am wondering how the model works on binary classification?
So in this scenario, I would like to consider only two classes and any other third objects as anomalous.

from anomaly-seg.

There are perhaps better models than PSPNet for problem such as nvidia segmentation but we have not tried them.

We also did not try PSPNet on a binary classification problem. There are foreground/background segmentation papers that might be helpful to look at what has been done in that area/problem.

Hope that helps.

from anomaly-seg.

There are perhaps better models than PSPNet for problem such as nvidia segmentation but we have not tried them.

We also did not try PSPNet on a binary classification problem. There are foreground/background segmentation papers that might be helpful to look at what has been done in that area/problem.

Hope that helps.

Yeah, it makes sense :)
Thank you so much!

from anomaly-seg.