Saliency Detection on DUT-LF
86.8F-measurePoolNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PoolNetSupervision Type=Fully supervised, Input Modality=RGB2022.04 | 86.8 | 0.051 | |
| DLLFSupervision Type=Fully supervised, Input Modality=Light field2022.04 | 86.8 | 0.07 | |
| Mo-LFSupervision Type=Fully supervised, Input Modality=Light field2022.04 | 84.3 | 0.052 | |
| UCNetSupervision Type=Fully supervised, Input Modality=RGB-D2022.04 | 83.9 | 0.087 | |
| PiCANetSupervision Type=Fully supervised, Input Modality=RGB2022.04 | 82.1 | 0.083 | |
| NoiseLFSupervision Type=Single noisy label, Input Modality=Light field2022.04 | 81.3 | 0.091 | |
| R3NetSupervision Type=Fully supervised, Input Modality=RGB2022.04 | 78.3 | 0.113 | |
| NLDFSupervision Type=Fully supervised, Input Modality=RGB2022.04 | 77.8 | 0.103 | |
| TANetSupervision Type=Fully supervised, Input Modality=RGB2022.04 | 77.1 | 0.096 | |
| PCASupervision Type=Fully supervised, Input Modality=RGB2022.04 | 76.2 | 0.1 | |
| MMCISupervision Type=Fully supervised, Input Modality=RGB2022.04 | 75 | 0.116 | |
| DUSPSSupervision Type=Multi noisy labels, Input Modality=RGB2022.04 | 73.6 | 0.062 | |
| MNLSupervision Type=Multi noisy labels, Input Modality=RGB2022.04 | 71.6 | 0.086 | |
| NAEDSupervision Type=Multi noisy labels, Input Modality=RGB2022.04 | 70.1 | 0.07 | |
| SNLSupervision Type=Single noisy label, Input Modality=RGB2022.04 | 67.9 | 0.072 | |
| RBDSupervision Type=Conventional, Input Modality=RGB2022.04 | 63.1 | 0.212 | |
| SBFSupervision Type=Multi noisy labels, Input Modality=RGB2022.04 | 58.3 | 0.135 | |
| LFSSupervision Type=Conventional, Input Modality=Light field2022.04 | 48.4 | 0.24 |