Saliency Prediction On Salicon
평가 지표
AUC
CC
KLD
NSS
SIM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AUC | CC | KLD | NSS | SIM | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| SUM | 0.876 | 0.909 | 0.192 | 1.981 | 0.804 | SUM: Saliency Unification through Mamba for Visual Attention Modeling | |
| SalNAS-XL + Self-KD | 0.870 | 0.909 | 0.195 | 2.019 | 0.796 | SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation | |
| TranSalNet | 0.868 | 0.907 | 0.373 | 2.014 | 0.803 | TranSalNet: Towards perceptually relevant visual saliency prediction | |
| TempSAL | 0.869 | 0.911 | 0.195 | 1.967 | 0.800 | TempSAL - Uncovering Temporal Information for Deep Saliency Prediction | |
| MDS-ViTNet | 0.8684 | 0.8980 | 0.2127 | - | 0.7887 | MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer |
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