RGB Saliency Detection on ECSSD
96.6F-measure (F_beta)Samba+
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Samba+Params (M)=59.03, MACs (G)=48.462026.02 | 96.6 | 95.5 | 97.8 | — | — | — | — | — | — | |
| SambaParams (M)=49.59, MACs (G)=46.682026.02 | 96.5 | 95.3 | 97.8 | — | — | — | — | — | — | |
| VSCode-S24Params (M)=74.72, MACs (G)=93.762026.02 | 95.9 | 94.9 | 97.4 | — | — | — | — | — | — | |
| BBRF23Params (M)=74.40, MACs (G)=48.602026.02 | 95.7 | 93.9 | 97.2 | — | — | — | — | — | — | |
| EBM21Params (M)=118.96, MACs (G)=53.382026.02 | 95.4 | 94.1 | 97.2 | — | — | — | — | — | — | |
| ICON-S22Params (M)=94.30, MACs (G)=52.592026.02 | 95.4 | 94.1 | 97.1 | — | — | — | — | — | — | |
| VST-S++ 24Params (M)=74.90, MACs (G)=32.732026.02 | 95.1 | 93.9 | 96.9 | — | — | — | — | — | — | |
| EDN22Params (M)=42.85, MACs (G)=20.412026.02 | 95 | 92.7 | 95.7 | — | — | — | — | — | — | |
| ICON-R22Params (M)=33.09, MACs (G)=20.912026.02 | 94.3 | 92.8 | 96 | — | — | — | — | — | — | |
| CSF-R220Params (M)=36.53, MACs (G)=18.962026.02 | 94.2 | 93.1 | 96 | — | — | — | — | — | — | |
| MENet23Params (M)=27.83, MACs (G)=94.622026.02 | 93.8 | 92.7 | 95.6 | — | — | — | — | — | — | |
| GateNet-R20Params (M)=128.63, MACs (G)=162.222026.02 | 93.5 | 92.4 | 95.5 | — | — | — | — | — | — | |
| UCNetinference_model=CVAE2020.09 | 92.6 | 92.1 | 94.7 | 0.035 | — | — | — | — | — | |
| LDF2020.09 | 92.3 | 91.9 | 94.3 | 0.036 | — | — | — | — | — | |
| UCNetinference_model=ABP2020.09 | 91.8 | 91.5 | 94.1 | 0.037 | — | — | — | — | — | |
| BASN2020.09 | 91.3 | 91 | 93.8 | 0.04 | — | — | — | — | — | |
| SCRN2020.09 | 91 | 92 | 93.3 | 0.041 | — | — | — | — | — | |
| AFNet2020.09 | 90.1 | 90.7 | 92.9 | 0.045 | — | — | — | — | — | |
| DGRL2020.09 | 89.8 | 90.2 | 93.4 | 0.045 | — | — | — | — | — | |
| MSNet2020.09 | 88.6 | 90.5 | 92.2 | 0.048 | — | — | — | — | — | |
| PiCAN2020.09 | 87.2 | 89.8 | 90.9 | 0.054 | — | — | — | — | — | |
| NLDF2020.09 | 87.1 | 87 | 89.6 | 0.066 | — | — | — | — | — | |
| Kyriazi et al. [56]2022.05 | 80.6 | — | — | — | 91.5 | 71.3 | — | — | — | |
| Voynov et al.2022.05 | 79 | — | — | — | 90.6 | 68.4 | — | — | — | |
| GWM2022.05 | 74.3 | — | — | — | 88.5 | 56.1 | — | — | — | |
| BigBiGANSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 67.2 | — | — | |
| DeepSpectralSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 64.5 | — | — | |
| DyStaBCRF post-processing=true, supervised pre-training=true, self-training=true2022.05 | — | — | — | — | 88.1 | — | — | — | — | |
| E-BigBiGANSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 68.4 | — | — | |
| EVPv22026.07 | — | — | — | — | — | — | — | 96.7 | 0.022 | |
| FindGANSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 71.3 | — | — | |
| ICON2026.07 | — | — | — | — | — | — | — | 95.4 | 0.032 | |
| Kyriazi et al. [55]2022.05 | — | — | — | — | — | 73.3 | — | — | — | |
| LOSTSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 65.4 | — | — | |
| MENet2026.07 | — | — | — | — | — | — | — | 95.7 | 0.031 | |
| PANCSupervision level=Weakly-supervised2026.02 | — | — | — | — | — | — | 73.3 | — | — | |
| ReChannelbackbone=4B2026.07 | — | — | — | — | — | — | — | 96.5 | 0.018 | |
| ReChannelbackbone=9B2026.07 | — | — | — | — | — | — | — | 96.8 | 0.017 | |
| SelfMask2022.05 | — | — | — | — | 94.4 | 78.1 | — | — | — | |
| TokenCut2022.05 | — | — | — | — | 91.8 | 71.2 | — | — | — | |
| TokenCutSupervision level=Unsupervised2026.02 | — | — | — | — | — | — | 71.2 | — | — | |
| VSCode-Bmodel_size=B2026.07 | — | — | — | — | — | — | — | 96.1 | 0.022 | |
| VST++2026.07 | — | — | — | — | — | — | — | 94.9 | 0.029 | |
| WSCUODSupervision level=Weakly-supervised2026.02 | — | — | — | — | — | — | 72.7 | — | — |