Salient Object Detection on DUT-O (test)
85.3FmTE5
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TE5#Params=31.3M, GFLOPS=11.522021.12 | 85.3 | 0.047 | 80.5 | 86.1 | — | |
| TE4#Params=20.71M, GFLOPS=8.642021.12 | 85.1 | 0.047 | 79.8 | 85.4 | — | |
| TE7#Params=66.27M, GFLOPS=18.862021.12 | 84.9 | 0.045 | 79.8 | 85.5 | — | |
| TE6#Params=43.47M, GFLOPS=14.842021.12 | 84.8 | 0.049 | 79.7 | 85.4 | — | |
| SCRN#Params=25.25M, GFLOPS=30.22021.12 | 84.6 | 0.056 | 75 | 83.7 | — | |
| VAN-B2Backbone=VAN-B22022.02 | 84.4 | 0.045 | — | — | — | |
| EGNet#Params=112M, GFLOPS=240.32021.12 | 84.2 | 0.053 | 75.1 | 83.8 | — | |
| ITSD#Params=26.47M, GFLOPS=31.922021.12 | 84.2 | 0.061 | 76.7 | 84 | — | |
| TE2#Params=11.09M, GFLOPS=5.22021.12 | 84.1 | 0.047 | 78.6 | 84.6 | — | |
| TE3#Params=14.02M, GFLOPS=6.262021.12 | 84 | 0.046 | 78.5 | 84.7 | — | |
| F3Net#Params=25.54M, GFLOPS=32.862021.12 | 83.8 | 0.053 | 76.4 | 83.8 | — | |
| TE1#Params=9.96M, GFLOPS=4.282021.12 | 83.6 | 0.048 | 78.1 | 84.3 | — | |
| VAN-B1Backbone=VAN-B12022.02 | 83.5 | 0.046 | — | — | — | |
| TE0#Params=7.45M, GFLOPS=4.262021.12 | 83.4 | 0.049 | 77.5 | 83.9 | — | |
| LDF#Params=25.15M, GFLOPS=31.022021.12 | 83.2 | 0.052 | 76.8 | 83.9 | — | |
| PVT-SBackbone=PVT-S2022.02 | 83.2 | 0.05 | — | — | — | |
| PoolNet#Params=68.21M, GFLOPS=1782021.12 | 83.1 | 0.054 | 74.2 | 82.9 | — | |
| GCPANet#Params=67.06M, GFLOPS=87.982021.12 | 83.1 | 0.057 | 74.9 | 83.8 | — | |
| MINet#Params=162M, GFLOPS=174.222021.12 | 82.9 | 0.056 | 75.2 | 83.3 | — | |
| AFNet#Params=34.3M2021.12 | 81.8 | 0.057 | 73.4 | 82.5 | — | |
| CPD-R#Params=47.85M, GFLOPS=35.542021.12 | 81.7 | 0.056 | 74.2 | 82.5 | — | |
| BASNet#Params=87.06M, GFLOPS=195.022021.12 | 81.5 | 0.056 | 76.7 | 83.6 | — | |
| PVT-TBackbone=PVT-T2022.02 | 81.3 | 0.052 | — | — | — | |
| M3Net-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 81.1 | 0.045 | — | 87.2 | 90.3 | |
| ICON-SArchitecture=Transformer, Backbone=SwinTransformer2023.09 | 80.4 | 0.043 | — | 86.9 | 90.6 | |
| BBRFArchitecture=Transformer2023.09 | 80.3 | 0.044 | — | 86.1 | 89.9 | |
| MLMSNet#Params=72.24M2021.12 | 79.1 | 0.063 | 70.8 | 80.9 | — | |
| PAGENet#Params=47.40M, GFLOPS=2042021.12 | 78.9 | 0.062 | 74.3 | 82.5 | — | |
| ResNet50Backbone=ResNet502022.02 | 78.6 | 0.051 | — | — | — | |
| SRformerArchitecture=Transformer2023.09 | 78.4 | 0.043 | — | 86 | 89.4 | |
| ResNet18Backbone=ResNet182022.02 | 76.9 | 0.056 | — | — | — | |
| M3Net-RArchitecture=CNN, Backbone=ResNet502023.09 | 76.9 | 0.061 | — | 84.8 | 88 | |
| ICON-RArchitecture=CNN, Backbone=ResNet502023.09 | 76.1 | 0.057 | — | 84.4 | 88.4 | |
| VSTArchitecture=Transformer2023.09 | 75.8 | 0.058 | — | 85.2 | 89 | |
| PFSNetArchitecture=CNN2023.09 | 75.6 | 0.055 | — | 84.2 | 87.8 | |
| LDFArchitecture=CNN2023.09 | 75.2 | 0.052 | — | 83.9 | 86.9 | |
| BASNetArchitecture=CNN2023.09 | 75.1 | 0.056 | — | 83.6 | 87.1 | |
| ITSD-RArchitecture=CNN, Backbone=ResNet502023.09 | 75 | 0.061 | — | 84 | 88 | |
| PiCANetArchitecture=CNN2023.09 | 74.3 | 0.054 | — | 82.6 | 86.5 | |
| EGNetArchitecture=CNN2023.09 | 73.8 | 0.053 | — | 84.1 | 87.8 | |
| MINet-RArchitecture=CNN, Backbone=ResNet502023.09 | 73.8 | 0.056 | — | 83.3 | 86.9 | |
| CSF-R2Architecture=CNN, Backbone=Res2Net502023.09 | 73.3 | 0.055 | — | 83.8 | 87.5 | |
| GateNet-RArchitecture=CNN, Backbone=ResNet502023.09 | 72.9 | 0.055 | — | 83.8 | 87.6 | |
| PoolNetArchitecture=CNN2023.09 | 72.5 | 0.054 | — | 83.1 | 86.7 | |
| CPD-RArchitecture=CNN, Backbone=ResNet502023.09 | 71.9 | 0.056 | — | 82.5 | 86.8 | |
| AFNetArchitecture=CNN2023.09 | 71.7 | 0.057 | — | 82.6 | 86.1 |