Visual Saliency Prediction on CAT2000 (test)
0.89Correlation Coefficient (CC)SAM-VGG
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SAM-VGGBackbone=VGG16, Category=Deep learning (pre-trained)2019.02 | 0.89 | 0.76 | 2.38 | 0.58 | — | 0.54 | 0.88 | 1.07 | 0.79 | |
| SAM-ResNetBackbone=ResNet, Category=Deep learning (pre-trained)2019.02 | 0.89 | 0.77 | 2.38 | 0.58 | — | 0.56 | 0.88 | 1.04 | 0.8 | |
| TranSalNet_DenseBackbone=DenseNet-161, Pre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8823 | 0.7512 | 2.429 | 0.6099 | 0.882 | 0.4715 | — | — | — | |
| EML-NETCategory=Deep learning (pre-trained)2019.02 | 0.88 | 0.75 | 2.38 | 0.59 | — | 0.96 | 0.87 | 1.05 | 0.79 | |
| TranSalNet_ResBackbone=ResNet-50, Pre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8786 | 0.7492 | 2.4154 | 0.6054 | 0.8811 | 0.5036 | — | — | — | |
| SAM-ResNetBackbone=ResNet-50, Pre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8706 | 0.7395 | 2.4108 | 0.5932 | 0.8778 | 0.6702 | — | — | — | |
| DeepFixCategory=Deep learning (pre-trained)2019.02 | 0.87 | 0.74 | 2.28 | 0.58 | — | 0.37 | 0.87 | 1.15 | 0.81 | |
| MSI-NetCategory=Deep learning (this paper)2019.02 | 0.87 | 0.75 | 2.3 | 0.59 | — | 0.36 | 0.88 | 1.07 | 0.82 | |
| SAM-VGGBackbone=VGG, Pre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.868 | 0.7391 | 2.4138 | 0.5966 | 0.8784 | 0.6383 | — | — | — | |
| MSI-NetPre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8655 | 0.7398 | 2.3547 | 0.6071 | 0.8809 | 0.428 | — | — | — | |
| DVAPre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8616 | 0.7335 | 2.3447 | 0.6014 | 0.8783 | 0.4492 | — | — | — | |
| UNISALPre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.8417 | 0.7207 | 2.2575 | 0.5982 | 0.8758 | 0.5302 | — | — | — | |
| FastSalPre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.7213 | 0.6031 | 1.859 | 0.618 | 0.8599 | 0.5523 | — | — | — | |
| JuddCategory=Shallow/Machine Learning2019.02 | 0.54 | 0.46 | 1.3 | 0.56 | — | 0.94 | 0.84 | 3.6 | 0.84 | |
| eDNCategory=Shallow/Machine Learning2019.02 | 0.54 | 0.52 | 1.3 | 0.55 | — | 0.97 | 0.85 | 2.64 | 0.84 | |
| ML-NetPre-training=SALICON, Evaluation protocol=10-fold Cross-Validation2021.10 | 0.5221 | 0.5407 | 1.4485 | 0.6212 | 0.8104 | 1.1101 | — | — | — | |
| GBVSCategory=Theoretical baseline2019.02 | 0.5 | 0.51 | 1.23 | 0.58 | — | 0.8 | 0.8 | 2.99 | 0.79 | |
| IttiCategory=Theoretical baseline2019.02 | 0.42 | 0.48 | 1.06 | 0.59 | — | 0.92 | 0.77 | 3.44 | 0.76 | |
| SUNCategory=Theoretical baseline2019.02 | 0.3 | 0.43 | 0.77 | 0.57 | — | 2.22 | 0.7 | 3.42 | 0.69 |