Image Quality Assessment on LIVE Challenge 1.1K (test)
0.87SRCCLIQE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LIQETraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.87 | 0.83 | |
| Q-ALIGNTraining Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.865 | 0.873 | |
| Q-ALIGNTraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.86 | 0.853 | |
| FEWSHOT-Q-ALIGNTraining Set=KonIQ, #Training=2K (20%)2023.12 | 0.84 | 0.845 | |
| MUSIQTraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.83 | 0.789 | |
| FEWSHOT-Q-ALIGNTraining Set=SPAQ, #Training=2.2K (20%)2023.12 | 0.823 | 0.834 | |
| MUSIQTraining Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.813 | 0.789 | |
| CLIP-IQA+Training Set=KonIQ, #Training=7K (70%)2023.12 | 0.805 | 0.832 | |
| LIQETraining Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.805 | 0.866 | |
| Fang et al.Training Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.798 | 0.762 | |
| NIMATraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.771 | 0.814 | |
| DBCNNTraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.755 | 0.773 | |
| HyperIQATraining Set=KonIQ, #Training=7K (70%)2023.12 | 0.749 | 0.772 | |
| NIMATraining Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.733 | 0.785 | |
| CLIP-IQA+Training Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.719 | 0.755 | |
| DBCNNTraining Set=SPAQ, #Training=8.8K (80%)2023.12 | 0.702 | 0.748 |