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Dear Jia @yurujaja and Obukhov @toshas
I hope this message finds you well. Congratulations on your acceptance to ECCV 2024!
I am currently working on a domain generalization project on the Cityscapes -> ACDC, DZ, BDD, MV, I would like to compare my dataset generation method with yours. Could you kindly provide the generated dataset from Cityscapes that was used for the Table 2? This would be invaluable for my research.
Additionally, I am having difficulty reproducing the vanilla domain generalization performance of "DAFormer" and "HRDA" as presented in the same table. My reproduced results show that DAFormer performs worse (mIoU=50.0) without both SHADE and RCS as mentioned in this comment. However, using SHADE without RCS gives the best performance in my experiments (mIoU=54.27), which is close to the reported score. Can I use this score for my table, and could you please provide further details?
| Model | SHADE | RCS | mIoU |
|---|---|---|---|
| DAFormer | X | X | 50.00 |
| DAFormer | X | O | 43.11 |
| DAFormer | O | X | 54.27 |
| DAFormer | O | O | 49.58 |
Thank you for your assistance.
Best regards,
Minho Park