You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
After generating explanations for the four models presented in your results, I obtain similar results with VGG-16 for all eddits as well as with ResNet50 for the baseline. However I only managed to generate 625 counterfactual explanations with your method and ResNet50, with an average number of edits of 3.44. The evaluation results are:
Eval results single edit: {'Near-KP': 0.7672, 'Same-KP': 0.4288}
Eval results all edits: {'Near-KP': 0.6101537028411738, 'Same-KP': 0.32836516068933397}
Do you have any suggestions for how to resolve this issue? Thank you.
The text was updated successfully, but these errors were encountered:
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Dear authors,
After generating explanations for the four models presented in your results, I obtain similar results with VGG-16 for all eddits as well as with ResNet50 for the baseline. However I only managed to generate 625 counterfactual explanations with your method and ResNet50, with an average number of edits of 3.44. The evaluation results are:
Eval results single edit: {'Near-KP': 0.7672, 'Same-KP': 0.4288}
Eval results all edits: {'Near-KP': 0.6101537028411738, 'Same-KP': 0.32836516068933397}
Do you have any suggestions for how to resolve this issue? Thank you.
The text was updated successfully, but these errors were encountered: