├── .gitattributes ├── All_test_feature.m ├── CNN-JNQD_trained_wieghts ├── CNN_JNQD_22_3_64_14_3_128_10^(-2) │ └── net-epoch-300.mat ├── CNN_JNQD_27_3_64_14_3_128_10^(-2) │ └── net-epoch-300.mat ├── CNN_JNQD_32_3_64_14_3_128_10^(-2) │ └── net-epoch-300.mat └── CNN_JNQD_37_3_64_14_3_128_10^(-2) │ └── net-epoch-300.mat ├── CNN_JNQD_test.m ├── CNN_JNQD_training.m ├── LR_JNQD.m ├── README.md ├── SCI_fast.m ├── addCustomLossLayer.m ├── block_ERJND.m ├── enc_file ├── TAppDecoder_Bae_PVC_HM16.17.exe ├── TAppDecoder_HM16.17.exe ├── TAppEncoder_Bae_PVC_HM16.17.exe ├── TAppEncoder_HM16.17.exe ├── enc.bat ├── enc_Bae_PVC.bat ├── encoder_intra_main.cfg ├── encoder_lowdelay_main.cfg ├── encoder_randomaccess_main.cfg └── seq.cfg ├── generate_imdb.m ├── generate_img_data.m ├── gradient_offset_weight_qp_intra.mat ├── initializeCNN_SR_multi.m ├── l2LossBackward.m ├── l2LossForward.m ├── matconvnet.zip ├── matlab.zip ├── setup.m ├── spatial_freq.mat ├── xavier.m ├── yuv_load.m └── yuv_save.m 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