Image Quality Assessment on SPAQ
0.934SRCCDeQA-Score
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DeQA-ScoreTraining Dataset=KonIQ, SPAQ, KADID2026.01 | 0.934 | 0.938 | |
| DeQA-ScoreTraining Dataset=KonIQ, SPAQ2026.01 | 0.933 | 0.936 | |
| GLIANetNumber of trainable parameters=8M2026.05 | 0.932 | 0.934 | |
| Q-Align2024.05 | 0.93 | 0.933 | |
| SHDIQANumber of trainable parameters=24M2026.05 | 0.93 | 0.932 | |
| DeQA-ScoreTraining Dataset=KonIQ, SPAQ, KADID, PIPAL2026.01 | 0.929 | 0.932 | |
| DeQADomain Setting=In-domain2025.10 | 0.929 | 0.932 | |
| DR.Expertspre-training=false2026.02 | 0.928 | 0.933 | |
| LQMambapre-training=false2026.02 | 0.927 | 0.933 | |
| MA-AGIQAType=data-driven, Supervision Setting=Supervised2026.02 | 0.927 | 0.932 | |
| QMambaNumber of trainable parameters=50M2026.05 | 0.927 | 0.933 | |
| QPTpre-training=true2026.02 | 0.925 | 0.928 | |
| LODApre-training=false2026.02 | 0.925 | 0.928 | |
| LoDa2024.11 | 0.925 | 0.928 | |
| CSFIQA2024.11 | 0.925 | 0.935 | |
| LoDa2024.05 | 0.925 | 0.928 | |
| LoDaNumber of trainable parameters=9M2026.05 | 0.925 | 0.928 | |
| QCNpre-training=false2026.02 | 0.923 | 0.928 | |
| StairIQAType=data-driven, Supervision Setting=Supervised2026.02 | 0.923 | 0.929 | |
| DP-IQAModel Type=teacher2024.05 | 0.923 | 0.926 | |
| MANIQAType=data-driven, Supervision Setting=Supervised2026.02 | 0.922 | 0.927 | |
| LIQE2024.05 | 0.922 | 0.919 | |
| LEAFSupervision type=Weak-supervised, MOS percentage=30%2026.01 | 0.921 | 0.922 | |
| QFM-IQMpre-training=false2026.02 | 0.92 | 0.924 | |
| QFM-IQM2024.11 | 0.92 | 0.924 | |
| Q-AlignDomain Setting=In-domain2025.10 | 0.92 | 0.917 | |
| DP-IQAModel Type=student2024.05 | 0.92 | 0.923 | |
| DEIQTpre-training=false2026.02 | 0.919 | 0.923 | |
| DEIQT2024.11 | 0.919 | 0.923 | |
| CDINet2024.11 | 0.919 | 0.922 | |
| Re-IQAType=SSL + LR2023.10 | 0.918 | 0.925 | |
| Re-IQAType=data-driven, Supervision Setting=Weak-supervised2026.02 | 0.918 | 0.925 | |
| MUSIQ2024.11 | 0.918 | 0.921 | |
| Re-IQA2024.11 | 0.918 | 0.925 | |
| RACTDomain Setting=In-domain2025.10 | 0.918 | 0.922 | |
| MUSIQ2024.05 | 0.918 | 0.921 | |
| ReIQA2024.05 | 0.918 | 0.925 | |
| MUSIQ2026.05 | 0.918 | 0.921 | |
| Re-IQANumber of trainable parameters=48M2026.05 | 0.918 | 0.925 | |
| MUSIQpre-training=false2026.02 | 0.917 | 0.921 | |
| MUSIQ-singleMethod variant=single-scale2021.08 | 0.917 | 0.92 | |
| MUSIQ (Ours)Method variant=multi-scale/ensemble2021.08 | 0.917 | 0.921 | |
| HyperIQAType=Supervised learning2023.10 | 0.916 | 0.919 | |
| HyperIQApre-training=false2026.02 | 0.916 | 0.919 | |
| HyperIQAType=data-driven, Supervision Setting=Supervised2026.02 | 0.915 | 0.918 | |
| ELIQType=data-driven, Supervision Setting=Weak-supervised2026.02 | 0.915 | 0.925 | |
| DACNN2024.11 | 0.915 | 0.921 | |
| CONTRIQUEType=SSL + LR2023.10 | 0.914 | 0.919 | |
| CONRTIQUEpre-training=true2026.02 | 0.914 | 0.919 | |
| CONTRIQUEType=data-driven, Supervision Setting=Weak-supervised2026.02 | 0.914 | 0.919 | |
| CONTRIQUESupervision type=Weak-supervised2026.01 | 0.914 | 0.919 | |
| VisualQuality-R1Domain Setting=In-domain2025.10 | 0.914 | 0.918 | |
| DEIQT2024.05 | 0.914 | 0.921 | |
| VisualQuality-R1Training Dataset=KADID, SPAQ2026.01 | 0.913 | 0.917 | |
| DB-CNNType=Supervised learning2023.10 | 0.911 | 0.915 | |
| QualiCLIP+Opinion-Unaware=false2024.03 | 0.911 | 0.914 | |
| DBCNN2024.11 | 0.911 | 0.915 | |
| HyperIQA2024.11 | 0.911 | 0.915 | |
| DBCNN2021.08 | 0.911 | 0.915 | |
| DBCNN2024.05 | 0.911 | 0.915 | |
| HyperIQA2024.05 | 0.911 | 0.915 | |
| Q-DeepSight†Category=MLLM (w/ reasoning), Training Dataset=KonIQ + DQ-7K2026.04 | 0.911 | 0.912 | |
| DBCNN2026.05 | 0.911 | 0.915 | |
| HyperIQA2026.05 | 0.911 | 0.915 | |
| DAIQA2026.05 | 0.911 | 0.922 | |
| CONTRIQUEOpinion-Unaware=false2024.03 | 0.91 | 0.912 | |
| DB-CNNpre-training=false2026.02 | 0.91 | 0.913 | |
| Re-IQAOpinion-Unaware=false2024.03 | 0.909 | 0.912 | |
| DBCNNType=data-driven, Supervision Setting=Supervised2026.02 | 0.909 | 0.927 | |
| Fang et al.Extra information usage=w/o extra info2021.08 | 0.908 | 0.909 | |
| Q-InsightModel Category=Specialized, Domain=Cross domain2025.12 | 0.907 | 0.905 | |
| Q-InsightDomain Setting=In-domain2025.10 | 0.907 | 0.913 | |
| Q-InsightCategory=Specialized, Evaluation Domain=Cross-domain, Evaluation Protocol=Single-task2026.03 | 0.907 | 0.905 | |
| Q-DeepSightCategory=MLLM (w/ reasoning), Training Dataset=KonIQ2026.04 | 0.906 | 0.905 | |
| ARNIQAType=SSL + LR2023.10 | 0.905 | 0.91 | |
| Q-insightTraining Dataset=KonIQ, KADIS2026.01 | 0.905 | 0.907 | |
| Q-InsightCategory=MLLM-based, Training Dataset=KonIQ2025.10 | 0.905 | 0.907 | |
| Q-Insight†Category=MLLM (w/ reasoning), Training Dataset=KonIQ + DQ-7K2026.04 | 0.905 | 0.907 | |
| Tool-IQATraining Dataset=KonIQ2026.06 | 0.905 | 0.906 | |
| ARNIQAOpinion-Unaware=false2024.03 | 0.904 | 0.909 | |
| ARNIQAType=data-driven, Supervision Setting=Weak-supervised2026.02 | 0.904 | 0.909 | |
| ARNIQASupervision type=Weak-supervised2026.01 | 0.904 | 0.909 | |
| UniPerceptModel Category=Ours2025.12 | 0.904 | 0.895 | |
| GRepQ-DType=data-driven, Supervision Setting=Weak-supervised2026.02 | 0.903 | 0.917 | |
| Q-HawkeyeTraining Dataset=KonIQ2026.01 | 0.903 | 0.904 | |
| Q-HawkeyeMethodology=MLLM-Based Methods2026.01 | 0.903 | 0.904 | |
| GRepQ-DSupervision type=Weak-supervised2026.01 | 0.903 | 0.917 | |
| Q-InsightCategory=VLM (w/o & w/ reasoning), Trained on KonIQ=true2026.01 | 0.903 | 0.903 | |
| Q-InsightCategory=MLLM (w/ reasoning), Training Dataset=KonIQ2026.04 | 0.903 | 0.903 | |
| Q-Insight (regression)Method Category=MLLM-based: RL training, Backbone=Qwen2.5-VL-7B, Reproduction Protocol=Reported2026.06 | 0.903 | 0.903 | |
| GRepQOpinion-Unaware=false2024.03 | 0.902 | 0.903 | |
| CLIP-IQA+Opinion-Unaware=false2024.03 | 0.901 | 0.904 | |
| Zoom-IQACategory=VLM (w/o & w/ reasoning), Trained on KonIQ=true2026.01 | 0.9 | 0.902 | |
| Zoom-IQACategory=MLLM (w/ reasoning), Training Dataset=KonIQ2026.04 | 0.9 | 0.902 | |
| Tool-augmented Zoom-IQATraining Dataset=KonIQ2026.06 | 0.9 | 0.902 | |
| Q-insightVenue=NeurIPS’25, Methodology=MLLM-Based Methods2026.01 | 0.899 | 0.903 | |
| Tool-IQATraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.898 | 0.898 | |
| RALICategory=Non-MLLM Deep-learning, Training Dataset=KonIQ2025.10 | 0.897 | 0.897 | |
| TATARCategory=Unified2026.03 | 0.897 | 0.894 | |
| MR-IQAMethod Category=MLLM-based: RL training, Backbone=Qwen3-VL-2B, Reproduction Protocol=Controlled reproduction2026.06 | 0.897 | 0.892 |