Video Quality Assessment on LIVE-VQC (test)
0.849SRCCFAST-VQA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FAST-VQAGroup=Ours, Protocol=Finetune2022.07 | 0.849 | 0.865 | |
| FAST-VQAResolution Range=240P - 1080P2022.10 | 0.849 | 0.865 | |
| FasterVQAResolution Range=240P - 1080P, Efficiency=4X than FAST-VQA2022.10 | 0.843 | 0.858 | |
| DOVERTraining Set=LSVQ_train, GFLOPS=282.3, CPU Time=9.7s, GPU Time=47ms2022.11 | 0.832 | 0.855 | |
| BVQA-TCSVT-2022Group=Existing Fixed Deep, Resolution Range=240P - 1080P2022.10 | 0.831 | 0.842 | |
| FAST-VQA-MGroup=Ours, Protocol=Finetune2022.07 | 0.828 | 0.849 | |
| PVQGroup=Existing Fixed Deep, Protocol=Finetune2022.07 | 0.827 | 0.837 | |
| PVQGroup=Existing Fixed Deep, Resolution Range=240P - 1080P2022.10 | 0.827 | 0.837 | |
| CNN+TLVQMGroup=Ensemble C+D, Protocol=Finetune2022.07 | 0.825 | 0.834 | |
| CNN+TLVQMGroup=Ensemble C+D, Resolution Range=240P - 1080P2022.10 | 0.825 | 0.834 | |
| FAST-VQATraining Set=LSVQ_train, GFLOPS=279.1, CPU Time=8.8s, GPU Time=45ms2022.11 | 0.823 | 0.844 | |
| PVQTraining Setting=Mixed Databases2021.08 | 0.8162 | 0.8445 | |
| ProposedTraining Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.816 | 0.824 | |
| Li et al.Training Set=LSVQ_train, GFLOPS=112537, CPU Time=1567s, GPU Time=27.6s2022.11 | 0.816 | 0.824 | |
| FAST-VQA-MResolution Range=240P - 1080P2022.10 | 0.803 | 0.828 | |
| TLVQMGroup=Existing Classical, Protocol=Finetune2022.07 | 0.799 | 0.803 | |
| Full-res Swin-T featuresGroup=Baseline Features, Protocol=Finetune2022.07 | 0.799 | 0.808 | |
| TLVQMGroup=Existing Classical, Resolution Range=240P - 1080P2022.10 | 0.799 | 0.803 | |
| Full-res Swin-TResolution Range=240P - 1080P, Features=Full-resolution Swin-T2022.10 | 0.799 | 0.808 | |
| Proposed-LSTraining Setting=Mixed Databases, Scaling=Linear Re-scaling (LS)2021.08 | 0.7889 | 0.7806 | |
| CNN+VIDEVALGroup=Ensemble C+D, Protocol=Finetune2022.07 | 0.785 | 0.81 | |
| CNN+VIDEVALGroup=Ensemble C+D, Resolution Range=240P - 1080P2022.10 | 0.785 | 0.81 | |
| DisCoVQATrain on=KoNViD-1k2022.06 | 0.782 | 0.797 | |
| FAST-VQA w/o VQ-representationsGroup=Ours, Protocol=Finetune2022.07 | 0.782 | 0.803 | |
| VSFAGroup=Existing Fixed Deep, Protocol=Finetune2022.07 | 0.773 | 0.795 | |
| VSFAGroup=Existing Fixed Deep, Resolution Range=240P - 1080P2022.10 | 0.773 | 0.795 | |
| PVQ(w)Training Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.77 | 0.807 | |
| Patch-VQ (w/ patch)Training Set=LSVQ_train, GFLOPS=58501, CPU Time=539s, GPU Time=13.8s2022.11 | 0.77 | 0.807 | |
| RAPIQUEGroup=Existing Classical, Protocol=Finetune2022.07 | 0.755 | 0.786 | |
| RAPIQUEGroup=Existing Classical, Resolution Range=240P - 1080P2022.10 | 0.755 | 0.786 | |
| VIDEVALGroup=Existing Classical, Protocol=Finetune2022.07 | 0.752 | 0.751 | |
| VIDEVALGroup=Existing Classical, Resolution Range=240P - 1080P2022.10 | 0.752 | 0.751 | |
| PVQ(w/o)Training Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.747 | 0.776 | |
| Patch-VQ (w/o patch)Training Set=LSVQ_train, GFLOPS=58501, CPU Time=539s, GPU Time=13.8s2022.11 | 0.747 | 0.776 | |
| VSFATraining Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.734 | 0.772 | |
| VSFATraining Set=LSVQ_train, GFLOPS=40919, CPU Time=466s, GPU Time=11.1s2022.11 | 0.734 | 0.772 | |
| MDTVSFATraining Setting=Mixed Databases2021.08 | 0.7277 | 0.7784 | |
| KSVQETrain Dataset=KVQ2024.02 | 0.72 | 0.768 | |
| MDTVSFATrain on=KoNViD-1k2022.06 | 0.716 | 0.759 | |
| CNN-TLVQMTrain on=KoNViD-1k2022.06 | 0.713 | 0.752 | |
| ResNet-50Train set=KoNViD-1k2020.05 | 0.7 | — | |
| GST-VQATrain on=KoNViD-1k2022.06 | 0.7 | 0.733 | |
| TLVQMTraining Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.67 | 0.691 | |
| TLVQMTraining Set=LSVQ_train, CPU Time=248s2022.11 | 0.67 | 0.691 | |
| DisCoVQATrain on=Youtube-UGC (236-fewer version)2022.06 | 0.661 | 0.685 | |
| VIDEVALTraining Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.63 | 0.64 | |
| VIDEVALTraining Set=LSVQ_train, CPU Time=895s2022.11 | 0.63 | 0.64 | |
| VIDEVALTrain on=KoNViD-1k2022.06 | 0.627 | 0.654 | |
| FastVQATrain Dataset=KVQ2024.02 | 0.614 | 0.675 | |
| MDTVSFATrain on=Youtube-UGC2022.06 | 0.582 | 0.603 | |
| VIDEVALTrain on=Youtube-UGC2022.06 | 0.542 | 0.553 | |
| SimpleVQATrain Dataset=KVQ2024.02 | 0.528 | 0.521 | |
| BRISQUETraining Dataset=LSVQ, Evaluation Protocol=Cross-database2021.08 | 0.524 | 0.536 | |
| HOSATrain set=YouTube-UGC2020.05 | 0.49 | — |