Salient Object Detection on DUTLF-D
96S-measure (Sm)VSCode-S
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| VSCode-SParams (M)=74.722026.04 | 96 | — | — | — | — | 96.7 | 98 | |
| DGSSMParams (M)=44.732026.04 | 95.9 | — | — | — | — | 96.7 | 97.8 | |
| SambaParams (M)=54.942026.04 | 95.6 | — | — | — | — | 96.4 | 97.6 | |
| CATNetParams (M)=262.732026.04 | 95.2 | — | — | — | — | 95.8 | 97.5 | |
| CPNetParams (M)=216.502026.04 | 95.1 | — | — | — | — | 95.9 | 97.4 | |
| VST-S++Params (M)=143.152026.04 | 94.5 | — | — | — | — | 95 | 96.9 | |
| SwinNet-BParams (M)=199.182026.04 | 91.8 | — | — | — | — | 92 | 94.9 | |
| SPSN2026.04 | 90.7 | — | — | — | — | 90.2 | 94.5 | |
| SP-NetParams (M)=67.882026.04 | 89.5 | — | — | — | — | 89.9 | 93.3 | |
| JL-DCFParams (M)=143.522026.04 | 89.4 | — | — | — | — | 89.1 | 92.7 | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=NJUD + NLPR2023.03 | — | 95.5 | 93 | 94.4 | 2.8 | — | — | |
| Adaptive Predictor Fusion Network (APF)Backbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | — | 96.3 | 93.7 | 95.1 | 2.6 | — | — | |
| BBSNetBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | — | 93.8 | 90.7 | 93 | 4.1 | — | — | |
| CoNetBackbone=ResNet-101, Method Style=Depth-free, Training Data=DUT-RGBD + NJUD + NLPR2023.03 | — | 95.3 | 91.9 | 93.5 | 3.3 | — | — | |
| DCFBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | — | 95.6 | 92.1 | 93.8 | 3.1 | — | — | |
| JL-DCFBackbone=ResNet-101, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | — | 93.8 | 90.5 | 92.4 | 4.3 | — | — | |
| RD3DBackbone=ResNet-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | — | 95.7 | 92.4 | 94 | 3 | — | — | |
| SPNetBackbone=Res2Net-50, Method Style=Depth-based, Training Data=NJUD + NLPR2023.03 | — | 95.7 | 93.1 | 94.7 | 3.1 | — | — |