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Try to run the code, but got very low result. #4

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Zzzbang opened this issue Aug 29, 2020 · 4 comments
Open

Try to run the code, but got very low result. #4

Zzzbang opened this issue Aug 29, 2020 · 4 comments

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@Zzzbang
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Zzzbang commented Aug 29, 2020

I try to run your code, but got very low result. Here is my result:
./checkpoint/CSIQ_3/01-0.2828-0.3439-0.2347-0.4749.pkl
Testing Results :SROCC: -0.3192 KROCC: -0.2222 PLCC: -0.3327 RMSE: 0.2985 MAE: 0.2347
It stoped at very early epoch. Could you please tell me if i missed someting?

@Zzzbang
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Zzzbang commented Aug 29, 2020

I try to run your code, but got very low result. Here is my result:
./checkpoint/CSIQ_3/01-0.2828-0.3439-0.2347-0.4749.pkl
Testing Results :SROCC: -0.3192 KROCC: -0.2222 PLCC: -0.3327 RMSE: 0.2985 MAE: 0.2347
It stoped at very early epoch. Could you please tell me if i missed someting?

I use the params which was detailed in your paper. I used the entire image without sampling. ( In your code, it used sampling with 224 *224) . And other params are unchanged.

Thank you in advance for your assistance.

@ysyscool
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I try to run your code, but got very low result. Here is my result:
./checkpoint/CSIQ_3/01-0.2828-0.3439-0.2347-0.4749.pkl
Testing Results :SROCC: -0.3192 KROCC: -0.2222 PLCC: -0.3327 RMSE: 0.2985 MAE: 0.2347
It stoped at very early epoch. Could you please tell me if i missed someting?

I use the params which was detailed in your paper. I used the entire image without sampling. ( In your code, it used sampling with 224 *224) . And other params are unchanged.

Thank you in advance for your assistance.

Can you tell me the config of your training script? I suggest you use my default config to get the similar results in my paper firstly.

@Zzzbang
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Zzzbang commented Sep 21, 2020

I try to run your code, but got very low result. Here is my result:
./checkpoint/CSIQ_3/01-0.2828-0.3439-0.2347-0.4749.pkl
Testing Results :SROCC: -0.3192 KROCC: -0.2222 PLCC: -0.3327 RMSE: 0.2985 MAE: 0.2347
It stoped at very early epoch. Could you please tell me if i missed someting?

I use the params which was detailed in your paper. I used the entire image without sampling. ( In your code, it used sampling with 224 *224) . And other params are unchanged.
Thank you in advance for your assistance.

Can you tell me the config of your training script? I suggest you use my default config to get the similar results in my paper firstly.

Thank you for your assistance. I re-tried running the code with default config as you suggest. Most of the database could get the similar results in your paper. But TID2013 got relatively low results. Like:

Testing Results :
exp: 34
SROCC: 0.6689
KROCC: 0.4977
PLCC: 0.6646
RMSE: 4.2885
MAE: 4.1176

Here is my config of TID2013:
TID2013:
datainfo: ./tid2013.mat
sim_dir: ../data/predictions_DINet_tid2013
im_dir: ../data/tid2013/distorted_images
train_ratio: 0.8
test_ratio: 0.2
shape_r: 384
shape_c: 512

@ysyscool
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I try to run your code, but got very low result. Here is my result:
./checkpoint/CSIQ_3/01-0.2828-0.3439-0.2347-0.4749.pkl
Testing Results :SROCC: -0.3192 KROCC: -0.2222 PLCC: -0.3327 RMSE: 0.2985 MAE: 0.2347
It stoped at very early epoch. Could you please tell me if i missed someting?
I use the params which was detailed in your paper. I used the entire image without sampling. ( In your code, it used sampling with 224 *224) . And other params are unchanged.
Thank you in advance for your assistance.
Can you tell me the config of your training script? I suggest you use my default config to get the similar results in my paper firstly.

Thank you for your assistance. I re-tried running the code with default config as you suggest. Most of the database could get the similar results in your paper. But TID2013 got relatively low results. Like:

Testing Results :
exp: 34
SROCC: 0.6689
KROCC: 0.4977
PLCC: 0.6646
RMSE: 4.2885
MAE: 4.1176

Here is my config of TID2013:
TID2013:
datainfo: ./tid2013.mat
sim_dir: ../data/predictions_DINet_tid2013
im_dir: ../data/tid2013/distorted_images
train_ratio: 0.8
test_ratio: 0.2
shape_r: 384
shape_c: 512

In my experience, the intermediate training checkpoint for the TID2013 dataset is better than the last one. But I don't know the reason for this phenomenon.

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