How to get result of ResNet 101 on Visda-2017 dataset?

[00wuweimin]

Hello, I tried the source code of your method on Visda-2017 with the backbone of ResNet101, but I only got 71.7%. So I want to know how to get 84.3%, thank you very much.

[mmayank74567]

Thank you for showing interest in our work.

You can use the following command to run CDAN + MCC w/ SDAT on VisDA-2017 with ResNet101.

python cdan_mcc_sdat.py data/{path-to-visda} -d VisDA2017 -s Synthetic -t Real -a resnet101 --epochs 30 --seed 2 --lr 0.002 --per-class-eval --train-resizing cen.crop --log logs/cdan_mcc_sdat/VisDA2017 --log_name visda_cdan_mcc_sdat_resnet101 --gpu 0 --rho 0.02 --log_results --temperature 3.0

Please ensure to record the accuracy that is printed as 'mean correct' in the logs.

We hope this helps! Please let us know in case of any further questions.

[mmayank74567]

@00wuweimin We hope that you were able to get the desired results. Due to inactivity, I will close the issue for now. Please feel free to reopen in case of any further queries.