Closed gshuangchun closed 2 years ago
Please, check the published papers for their used hyper-parameters. Also, note, the original papers use different augmentation style per epoch, which is different from the simplified dataloader in the git repo.
When I used the default hyperparameters, I got a bad result by using pytorch. Could you please release the hyperparameters used by the best results?
My results are as follows:
python run.py --train --kfold 1 --gpu 0 Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8028 | 0.5914 | 0.3454 | 0.3218 | 0.2888 | 0.2299
python run.py --train --kfold 2 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8129 | 0.5572 | 0.3334 | 0.2865 | 0.2568 | 0.2033
python run.py --train --kfold 3 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8561 | 0.5684 | 0.3352 | 0.3892 | 0.2961 | 0.2475
python run.py --train --kfold 4 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8188 | 0.5247 | 0.3109 | 0.2975 | 0.2667 | 0.2086
Have you solved it? I meet the same problem. 前辈,请问您这个问题解决了吗?我遇到了相同的问题。
The same question, have you solved it, I tried some parameters but I don't get the same results. Could you please share your hyperparameters? Especially the pretrain_dir
,initial_learning_rates
, I can't make sure my parameters.
When I used the default hyperparameters, I got a bad result by using pytorch. Could you please release the hyperparameters used by the best results?
My results are as follows:
python run.py --train --kfold 1 --gpu 0 Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8028 | 0.5914 | 0.3454 | 0.3218 | 0.2888 | 0.2299
python run.py --train --kfold 2 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8129 | 0.5572 | 0.3334 | 0.2865 | 0.2568 | 0.2033
python run.py --train --kfold 3 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8561 | 0.5684 | 0.3352 | 0.3892 | 0.2961 | 0.2475
python run.py --train --kfold 4 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8188 | 0.5247 | 0.3109 | 0.2975 | 0.2667 | 0.2086
hello, can i get your hyperparameters, I can't reproduce the paper result, so I want to reproduce your result first.
When I used the default hyperparameters, I got a bad result by using pytorch. Could you please release the hyperparameters used by the best results?
My results are as follows: python run.py --train --kfold 1 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8028 | 0.5914 | 0.3454 | 0.3218 | 0.2888 | 0.2299
python run.py --train --kfold 2 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8129 | 0.5572 | 0.3334 | 0.2865 | 0.2568 | 0.2033
python run.py --train --kfold 3 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8561 | 0.5684 | 0.3352 | 0.3892 | 0.2961 | 0.2475
python run.py --train --kfold 4 --gpu 0
Mean AP: I | V | T | IV | IT | IVT :::::: : 0.8188 | 0.5247 | 0.3109 | 0.2975 | 0.2667 | 0.2086