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LIVE dataset test result #6

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mlkk518 opened this issue Jun 4, 2020 · 2 comments
Open

LIVE dataset test result #6

mlkk518 opened this issue Jun 4, 2020 · 2 comments

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@mlkk518
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mlkk518 commented Jun 4, 2020

Hello! Sorry to bother you! I run your code without any changes except for increasing the epoch from 10 to 20 and reducing the number of repetition from 10 to 2. However, what makes me upset is that I could hardly get the same metric values which just near yours ,such as PLCC and SROCC. Both LIVE dataset and ResNet network are choosed for the experienment. Here is the results:
`(
Parameters: LIVE; ResNet; bins = 5; patches = 50;
SRCC: 0.9478; 0.9494; 0.9514; 0.9522; 0.9527; 0.9509; 0.9510; 0.9509; 0.9513; 0.9521;
std_SRCC: 0.0031; 0.0005; 0.0006; 0.0030; 0.0012; 0.0012; 0.0003; 0.0005; 0.0015; 0.0007;
PLCC: 0.9556; 0.9570; 0.9587; 0.9589; 0.9602; 0.9582; 0.9589; 0.9581; 0.9589; 0.9593;
std_PLCC: 0.0057; 0.0032; 0.0051; 0.0073; 0.0047; 0.0054; 0.0046; 0.0047; 0.0058; 0.0051;
best_SRCC: 0.9527; best_PLCC: 0.9602

Parameters: LIVE; ResNet; bins = 5; patches = 50;
SRCC: 0.9457; 0.9457; 0.9503; 0.9504; 0.9522; 0.9514; 0.9510; 0.9510; 0.9517; 0.9527; 0.9523; 0.9530; 0.9526; 0.9518; 0.9512; 0.9525; 0.9515; 0.9518; 0.9520; 0.9524;
std_SRCC: 0.0004; 0.0045; 0.0004; 0.0004; 0.0007; 0.0022; 0.0013; 0.0006; 0.0008; 0.0009; 0.0000; 0.0011; 0.0002; 0.0008; 0.0010; 0.0011; 0.0000; 0.0003; 0.0005; 0.0022;
PLCC: 0.9547; 0.9551; 0.9572; 0.9575; 0.9593; 0.9579; 0.9581; 0.9577; 0.9579; 0.9587; 0.9589; 0.9590; 0.9594; 0.9584; 0.9586; 0.9590; 0.9580; 0.9584; 0.9583; 0.9587;
std_PLCC: 0.0032; 0.0001; 0.0036; 0.0042; 0.0025; 0.0050; 0.0029; 0.0031; 0.0045; 0.0032; 0.0039; 0.0029; 0.0028; 0.0033; 0.0020; 0.0023; 0.0035; 0.0031; 0.0033; 0.0050;
best_SRCC: 0.9530; best_PLCC: 0.9590 `)

 Could you please tell me what's wrong about my setting .I am looking forward for your reply, thanks a lot . 
@HuiZeng
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HuiZeng commented Jun 4, 2020

Hi, I has been several years that I did not work on the IQA topic.
If I remember correctly, the variance is very large when using different random splits. That may be the main reason. You can use more repetitions to check it.

@mlkk518
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mlkk518 commented Jun 4, 2020 via email

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