├── .gitattributes ├── .gitignore ├── IQAdataset.py ├── IQAloss.py ├── IQAmodel.py ├── IQAperformance.py ├── README.md ├── _config.yml ├── data ├── 1000.JPG ├── CLIVEinfo.mat └── KonIQ-10kinfo.mat ├── framework.jpg ├── main.py ├── modified_ignite_engine.py ├── norm-in-norm-loss.jpg ├── requirements.txt ├── results_in_the_paper ├── README.md ├── backbone_performance_plot.py ├── batch_size_performance_plot.py ├── bhat.log ├── bhat.py ├── bnMSE.py ├── csv │ ├── MSE_PLCC.csv │ ├── MSE_SROCC.csv │ ├── Norm-in-Norm_PLCC.csv │ ├── Norm-in-Norm_SROCC.csv │ ├── bnMSE_PLCC.csv │ ├── bnMSE_SROCC.csv │ ├── loss=mae-bs=16-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-bs=4-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-bs=8-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-ft_lr_ratio=0-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-ft_lr_ratio=0.01-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-ft_lr_ratio=0.1-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-ft_lr_ratio=1-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-lr=1e-3-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-lr=1e-4-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-lr=1e-5-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-test_KonIQ-10k_PLCC.csv │ ├── loss=mae-test_KonIQ-10k_RMSE.csv │ ├── loss=mae-test_KonIQ-10k_SROCC.csv │ ├── loss=mae-train_KonIQ-10k_PLCC.csv │ ├── loss=mae-train_KonIQ-10k_RMSE.csv │ ├── loss=mae-train_KonIQ-10k_SROCC.csv │ ├── loss=mae-val_KonIQ-10k_PLCC.csv │ ├── loss=mae-val_KonIQ-10k_RMSE.csv │ ├── loss=mae-val_KonIQ-10k_SROCC.csv │ ├── loss=mse-bs=16-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-bs=4-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-bs=8-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-ft_lr_ratio=0-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-ft_lr_ratio=0.01-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-ft_lr_ratio=0.1-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-ft_lr_ratio=1-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-lr=1e-3-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-lr=1e-4-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-lr=1e-5-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-test_KonIQ-10k_PLCC.csv │ ├── loss=mse-test_KonIQ-10k_RMSE.csv │ ├── loss=mse-test_KonIQ-10k_SROCC.csv │ ├── loss=mse-train_KonIQ-10k_PLCC.csv │ ├── loss=mse-train_KonIQ-10k_RMSE.csv │ ├── loss=mse-train_KonIQ-10k_SROCC.csv │ ├── loss=mse-val_KonIQ-10k_PLCC.csv │ ├── loss=mse-val_KonIQ-10k_RMSE.csv │ ├── loss=mse-val_KonIQ-10k_SROCC.csv │ ├── loss=norm-in-norm-bs=16-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-bs=4-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-bs=8-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-ft_lr_ratio=0-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-ft_lr_ratio=0.01-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-ft_lr_ratio=0.1-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-ft_lr_ratio=1-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-lr=1e-3-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-lr=1e-4-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-lr=1e-5-val_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-test_KonIQ-10k_PLCC.csv │ ├── loss=norm-in-norm-test_KonIQ-10k_RMSE.csv │ ├── loss=norm-in-norm-test_KonIQ-10k_SROCC.csv │ ├── 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