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Hello, thanks for checking this issue. I use the uploaded code and run GVB-GD on the dataset Office-31. However, I cannot reproduce the claimed results in the paper. I run " python train_image.py --gpu_id 0 --GVBG 1 --GVBD 1 --num_iterations 8004 --dset office --s_dset_path data/office/amazon_list.txt --t_dset_path data/office/dslr_list.txt --test_interval 500 --output_dir gvbgd/adn " multiple times . Then the best performace is about 89.7%. However the number in your paper is 95.0%.
Any suggestions on how to solve this ? Would you mind providing your training scripts to reproduce the results on the Office-31 ? Thank you !
The text was updated successfully, but these errors were encountered:
Hello, thanks for checking this issue. I use the uploaded code and run GVB-GD on the dataset Office-31. However, I cannot reproduce the claimed results in the paper. I run " python train_image.py --gpu_id 0 --GVBG 1 --GVBD 1 --num_iterations 8004 --dset office --s_dset_path data/office/amazon_list.txt --t_dset_path data/office/dslr_list.txt --test_interval 500 --output_dir gvbgd/adn " multiple times . Then the best performace is about 89.7%. However the number in your paper is 95.0%.
Any suggestions on how to solve this ? Would you mind providing your training scripts to reproduce the results on the Office-31 ? Thank you !
The text was updated successfully, but these errors were encountered: