| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| STERE | Samba+ | S-measure (Sα)0.937 | 198 | 3d ago | |
| NJU2K (test) | CMINet | S-measure (Sα)0.939 | 137 | 3d ago | |
| SIP | Samba+ | S-measure (Sα)0.948 | 124 | 3d ago | |
| LFSD | CMWNet | S-measure (Sα)93.4 | 122 | 3d ago | |
| RGBD135 | BTS-Net | S-measure (Sα)0.943 | 92 | 3d ago | |
| NLPR (test) | VSCode-S | S-measure (Sα)94.1 | 71 | 3d ago | |
| NJUD | Samba+ | S-measure95 | 54 | 3d ago | |
| STERE (test) | VSCode-S | S-measure (Sα)0.931 | 45 | 3d ago | |
| SSD | VST | S-measure0.889 | 44 | 3d ago | |
| SIP (test) | VSCode-S | S-measure (Sα)92.4 | 37 | 3d ago | |
| DES (test) | Generative Vision Transformer | S_alpha0.945 | 31 | 3d ago | |
| SSD (test) | BBS-Net | Max F-beta Score0.859 | 23 | 3d ago | |
| LFSD (test) | BBS-Net | S-measure86.4 | 20 | 3d ago | |
| NJUDS | Ours(VGG) | S-measure0.897 | 14 | 3d ago | |
| ReDWeb-S | VST | S-measure (Sm)0.759 | 13 | 3d ago | |
| DUT | Progressively Guided Alternate Refinement Network | E-measure0.944 | 12 | 3d ago | |
| DUTLF-D | Samba+ | S-measure0.967 | 11 | 3d ago | |
| NJU2K (val) | COLA | S-measure0.934 | 11 | 3d ago | |
| RGB-D SOD datasets | AF-Net | Inference Time (s)0.03 | 10 | 3d ago | |
| SSB (test) | Generative Vision Transformer | S-measure (Sa)91.6 | 8 | 3d ago | |
| NJUD (test) | VSCode-S | S-measure (Sm)94.4 | 7 | 3d ago | |
| DUTLF-Depth (test) | VSCode-S | S-measure (Sm)0.96 | 6 | 3d ago | |
| RSDDs TYPE1 | LPCANet | mAP87.52 | 3 | 3d ago | |
| NJUD and NLPR | Progressively Guided Alternate Refinement Network | Inference Speed (FPS)71 | 3 | 3d ago |
