Comments (1)
Epoch Train_Loss Train_SROCC Test_SROCC Test_PLCC
1 5.168 0.8779 0.9013 0.9201
2 3.330 0.9497 0.9023 0.9192
3 2.853 0.9629 0.9011 0.9181
4 2.557 0.9700 0.9004 0.9179
5 2.349 0.9746 0.8970 0.9123
6 2.185 0.9779 0.9007 0.9161
7 2.053 0.9805 0.8949 0.9121
8 1.934 0.9827 0.8949 0.9094
9 1.833 0.9844 0.8967 0.9135
10 1.764 0.9856 0.8946 0.9115when i trained koniq-10k datasets,the Test_SROCC and Test_PLCC is descended by the epoch increased,and the train_SROCC is increased,if it is overfitting??
Have you known the reason?
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Related Issues (20)
- Sometimes the score will be greater than 100? HOT 1
- 论文中提到的测试数据集BID在哪下? HOT 4
- Value changes every time HOT 1
- HyperNetWork is not being trained HOT 2
- .cpu可以改成.cuda吗
- stats.pearsonr Error? HOT 1
- Question about the performance of SOTA method. HOT 2
- GoogleDrive link for pre-trained model HOT 4
- Can you share the CSIQ database? HOT 2
- 关于PLCC的计算
- About the random split way of the dataset
- About resize in Koniq-10k dataset transforms
- MSU Video Quality Metrics Benchmark Invitation
- Evaluation of noise image quality
- The rationality of sample patches randomly.
- koniq-10k dataset
- coda question
- Can you share the GFIQA dataset?
- about data process
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