Saliency Prediction on SALICON 2017 (val)
0.8684AUCMDS-ViTNet
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| MDS-ViTNet2024.05 | 0.8684 | — | — | 0.8949 | 0.2171 | 0.7855 | |
| MDS-ViTNet decoder 2decoder=22024.05 | 0.8676 | — | — | 0.898 | 0.2127 | 0.7887 | |
| MDS-ViTNet decoder 1decoder=12024.05 | 0.865 | — | — | 0.8911 | 0.2215 | 0.7817 | |
| DINet Adam DCL-500-1Backbone=DINet, Optimizer=Adam, Framework=DCL-500-12019.12 | 0.8493 | 1.8857 | 0.843 | 0.8804 | — | — | |
| DINet Adam GEMBackbone=DINet, Optimizer=Adam, Framework=GEM2019.12 | 0.8492 | 1.8746 | 0.8423 | 0.8791 | — | — | |
| DINet AdamBackbone=DINet, Optimizer=Adam2019.12 | 0.8489 | 1.8786 | 0.8426 | 0.8799 | — | — | |
| TranSalNet DenseNet2024.05 | 0.8486 | — | — | 0.8875 | 0.2218 | 0.7757 | |
| ResNet-50 RMSP DCL-oo-1Backbone=ResNet-50, Optimizer=RMSProp, Framework=DCL-oo-12019.12 | 0.8445 | 1.8226 | 0.8376 | 0.8569 | — | — | |
| ResNet-50 Adam DCL-oo-1Backbone=ResNet-50, Optimizer=Adam, Framework=DCL-oo-12019.12 | 0.843 | 1.8019 | 0.836 | 0.8548 | — | — | |
| ResNet-50 AdamBackbone=ResNet-50, Optimizer=Adam2019.12 | 0.8405 | 1.7978 | 0.8328 | 0.8495 | — | — | |
| ResNet-50 Adam GEMBackbone=ResNet-50, Optimizer=Adam, Framework=GEM2019.12 | 0.8399 | 1.7962 | 0.8344 | 0.8494 | — | — | |
| ResNet-50 RMSPBackbone=ResNet-50, Optimizer=RMSProp2019.12 | 0.8393 | 1.7933 | 0.8311 | 0.8472 | — | — | |
| ResNet-50 RMSP GEMBackbone=ResNet-50, Optimizer=RMSProp, Framework=GEM2019.12 | 0.8341 | 1.7522 | 0.8267 | 0.8291 | — | — |