I'd like to thank you for making your research and resources available to the community. I've been trying to reproduce the results from your paper using the provided pseudo labels.
In your paper, it's mentioned that you achieved an accuracy of around 74.4%+ using pseudo labels. However, when I utilized your pseudo labels in conjunction with the Deeplab repo using PASCALVOC default settings, I managed to get only about 71.2+%.
I wonder if there's a specific configuration, setting, or any tweaks that I should be aware of to replicate your results accurately? Additionally, if you have a reference code or any recommended repo to train DeepLab that might be more suited to this task, it would be greatly helpful.
Looking forward to your guidance and suggestions.
Thank you for your time and assistance!
Hello Sanghyun,
I'd like to thank you for making your research and resources available to the community. I've been trying to reproduce the results from your paper using the provided pseudo labels. In your paper, it's mentioned that you achieved an accuracy of around 74.4%+ using pseudo labels. However, when I utilized your pseudo labels in conjunction with the Deeplab repo using PASCALVOC default settings, I managed to get only about 71.2+%. I wonder if there's a specific configuration, setting, or any tweaks that I should be aware of to replicate your results accurately? Additionally, if you have a reference code or any recommended repo to train DeepLab that might be more suited to this task, it would be greatly helpful. Looking forward to your guidance and suggestions. Thank you for your time and assistance!