No Reference Image Quality Assessment On 1
评估指标
PLCC
SRCC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | PLCC | SRCC | Paper Title | Repository |
|---|---|---|---|---|
| CONTRIQUE | 0.937 | 0.934 | Image Quality Assessment using Contrastive Learning | - |
| DB-CNN | 0.856 | 0.851 | Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network | - |
| BRISQUE | 0.567 | 0.528 | No-Reference Image Quality Assessment in the Spatial Domain | |
| UNIQA | 0.946 | 0.944 | You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment | - |
| HyperIQA | 0.845 | 0.852 | Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network | |
| Re-IQA | 0.885 | 0.872 | Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild | - |
| ARNIQA | 0.912 | 0.908 | ARNIQA: Learning Distortion Manifold for Image Quality Assessment | - |
| TReS | 0.858 | 0.859 | No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency | - |
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