Dear Maintainers,
First, thank you for sharing your excellent work on "Guided Slot Attention for Unsupervised Video Object Segmentation." The repository and its associated files have been incredibly insightful for my research project.
However, I am encountering challenges with the following:
- Clarification on metrics.py
In the db_eval_iou_function:
Two variables, annotation and segmentation, are used.
From my understanding:
annotation refers to the ground truth.
segmentation corresponds to the predicted map.
Could you please confirm if this is correct? Additionally, guidance on the purpose of other functions within metrics.py would be greatly appreciated.
- Evaluation Procedure for UVOS
The provided evaluation script appears tailored for semi-supervised methods. Since my project involves unsupervised video object segmentation (UVOS), I am unsure how to adapt the evaluation process for this context. Any advice or modifications to better suit UVOS would be extremely helpful.
Thank you for your time and assistance. I look forward to your guidance!
Best regards,
Hammad
BS Data Science Student, Gift University
Dear Maintainers,
First, thank you for sharing your excellent work on "Guided Slot Attention for Unsupervised Video Object Segmentation." The repository and its associated files have been incredibly insightful for my research project.
However, I am encountering challenges with the following:
In the db_eval_iou_function:
Two variables, annotation and segmentation, are used.
From my understanding:
annotation refers to the ground truth.
segmentation corresponds to the predicted map.
Could you please confirm if this is correct? Additionally, guidance on the purpose of other functions within metrics.py would be greatly appreciated.
The provided evaluation script appears tailored for semi-supervised methods. Since my project involves unsupervised video object segmentation (UVOS), I am unsure how to adapt the evaluation process for this context. Any advice or modifications to better suit UVOS would be extremely helpful.
Thank you for your time and assistance. I look forward to your guidance!
Best regards,
Hammad
BS Data Science Student, Gift University