RGB-D Salient Object Detection on LFSD
93.4S-measure (Sα)CMWNet
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CMWNet2020.07 | 93.4 | — | 96.9 | 0.022 | 93 | — | — | |
| CAS-GNN2020.08 | 91.9 | 90.4 | 95.2 | 0.025 | — | — | — | |
| UCNet2020.08 | 91.8 | 89 | 95.1 | 0.025 | — | — | — | |
| D3Net2020.08 | 90.6 | 88.5 | 94.6 | 0.034 | — | — | — | |
| D3NetPublication Year=20192020.07 | 90.4 | — | 94.6 | 0.03 | 88.5 | — | — | |
| DMRAPublication Year=20192020.07 | 90 | — | 94.3 | 0.03 | 88.8 | — | — | |
| DMRA2020.08 | 89.9 | 85.5 | 94.2 | 0.031 | — | — | — | |
| CPFP2020.08 | 88.8 | 86.7 | 93.2 | 0.036 | — | — | — | |
| TANet2020.08 | 88.6 | 86.3 | 94.1 | 0.041 | — | — | — | |
| ASIF2020.08 | 88.4 | 90 | — | 0.03 | — | — | — | |
| VSTMACs (G)=30.99, Params (M)=83.832021.04 | 88.2 | 88.9 | 92.1 | 0.061 | — | — | — | |
| CMWNet2023.12 | 87.6 | — | 89.1 | 0.067 | — | — | 87.1 | |
| PCF2020.08 | 87.4 | 84.1 | 92.5 | 0.044 | — | — | — | |
| DPLNet2023.12 | 87.3 | — | 90.9 | 0.067 | — | — | 86.4 | |
| CPFPPublication Year=20192020.07 | 87.2 | — | 92.3 | 0.038 | 84.6 | — | — | |
| BTS-NetVenue=Ours2021.04 | 86.7 | 87.4 | 90.6 | 0.07 | — | — | — | |
| BBS-NetVenue=ECCV202021.04 | 86.4 | 85.9 | 90.1 | 0.072 | — | — | — | |
| CTMFPublication Year=20182020.07 | 86.3 | — | 93.2 | 0.055 | 84.4 | — | — | |
| CTMF2020.08 | 86 | 82.5 | 92.9 | 0.056 | — | — | — | |
| TANetPublication Year=20192020.07 | 85.8 | — | 91 | 0.046 | 82.7 | — | — | |
| SSF2023.12 | 85.8 | — | 89.5 | 0.066 | — | — | 86.6 | |
| MMCI2020.08 | 85.6 | 81.5 | 91.3 | 0.059 | — | — | — | |
| UC-NetMACs (G)=16.16, Params (M)=31.262021.04 | 85.6 | 86 | 89.8 | 0.074 | — | — | — | |
| JL-DCF2020.04 | 85.4 | 86.2 | 89.3 | 0.078 | — | — | — | |
| HDFNetBackbone=ResNet-502020.07 | 85.4 | 88.3 | 89.1 | 0.076 | 80.6 | 84.3 | — | |
| Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR+DUT2020.08 | 85.3 | — | 88.9 | 0.074 | — | — | 85.2 | |
| JL-DCFMACs (G)=211.06, Params (M)=143.522021.04 | 85.3 | 86.3 | 89.4 | 0.077 | — | — | — | |
| Ours(VGG)Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 85.1 | — | — | 0.085 | — | — | 82.6 | |
| SSF-RGBDMACs (G)=46.56, Params (M)=32.932021.04 | 85.1 | 86.3 | 89.2 | 0.074 | — | — | — | |
| MMCIPublication Year=20192020.07 | 84.8 | — | 92.8 | 0.065 | 82.2 | — | — | |
| CoNetMACs (G)=20.89, Params (M)=43.662021.04 | 84.8 | 85.2 | 89.5 | 0.076 | — | — | — | |
| HDFNetBackbone=VGG-162020.07 | 84.7 | 86 | 88.3 | 0.085 | 79.2 | 83.1 | — | |
| DMRABackbone=VGG-192020.07 | 84.7 | 87.2 | 89.9 | 0.076 | 81.1 | 84.9 | — | |
| DMRATraining Set=NJUD+NLPR+DUT2020.08 | 84.7 | — | 89.9 | 0.075 | — | — | 84.9 | |
| PDNet18Training Image Num.=0.70K+1.5K+21K, Training Dataset=NLR+NJU+O2020.08 | 84.7 | — | — | 0.107 | — | — | 77.9 | |
| Li et al. (ours)2020.07 | 84.65 | 88.82 | — | 0.072 | — | — | — | |
| HDFNetMACs (G)=91.77, Params (M)=44.152021.04 | 84.6 | 85.8 | 88.9 | 0.085 | — | — | — | |
| cmMSMACs (G)=134.77, Params (M)=92.022021.04 | 84.5 | 85.8 | 88.6 | 0.082 | — | — | — | |
| ATSAMACs (G)=42.17, Params (M)=32.172021.04 | 84.5 | 85.9 | 89.3 | 0.078 | — | — | — | |
| HDFNetBackbone=VGG-192020.07 | 84.4 | 85.8 | 88.6 | 0.083 | 79.3 | 83.3 | — | |
| BBSNet2023.12 | 84.3 | — | 87.9 | 0.081 | — | — | 83 | |
| PCFPublication Year=20182020.07 | 84.2 | — | 89.3 | 0.049 | 80.4 | — | — | |
| DANetMACs (G)=66.25, Params (M)=26.682021.04 | 84.1 | 84 | 87.4 | 0.087 | — | — | — | |
| DMRA2020.07 | 83.91 | 87.23 | — | 0.0754 | — | — | — | |
| DMRA2020.04 | 83.9 | 85.2 | 89.3 | 0.083 | — | — | — | |
| Cas-Gnn2021.04 | 83.8 | 84.3 | 88 | 0.081 | — | — | — | |
| BBS-NetMACs (G)=31.2, Params (M)=49.772021.04 | 83.5 | 82.8 | 87 | 0.092 | — | — | — | |
| Progressively Guided Alternate Refinement NetworkTraining Set=NJUD+NLPR2020.08 | 83.3 | — | 86.9 | 0.093 | — | — | 83 | |
| LSNet2023.12 | 83.3 | — | 87.3 | 0.084 | — | — | 85.2 | |
| D3NetBackbone=ResNet-502020.07 | 83.2 | 84.9 | 86 | 0.099 | 75.6 | 80.1 | — | |
| Ours(ResNet)Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 83.1 | — | — | 0.086 | — | — | 81 | |
| A2dele2020.07 | 83.06 | 85.77 | — | 0.074 | — | — | — | |
| EGNet2020.07 | 83 | 84.45 | — | 0.0871 | — | — | — | |
| S2MAMACs (G)=141.19, Params (M)=86.652021.04 | 82.9 | 83.1 | 86.5 | 0.102 | — | — | — | |
| CPFPBackbone=VGG-162020.07 | 82.8 | 85 | 86.7 | 0.088 | 77.5 | 81.3 | — | |
| CPFPTraining Set=NJUD+NLPR2020.08 | 82.8 | — | 86.7 | 0.088 | — | — | 81.3 | |
| CPFP19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 82.8 | — | — | 0.088 | — | — | 81.1 | |
| A2deleMACs (G)=41.86, Params (M)=30.342021.04 | 82.5 | 82.8 | 86.6 | 0.084 | — | — | — | |
| D3Net2020.04 | 82.4 | 81.5 | 85.6 | 0.106 | — | — | — | |
| PoolNet2020.07 | 82.17 | 84.74 | — | 0.0945 | — | — | — | |
| CPFP2020.04 | 82 | 82.1 | 86.4 | 0.095 | — | — | — | |
| CPFP2020.07 | 82 | 84.95 | — | 0.0881 | — | — | — | |
| EGNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 81.6 | — | — | 0.103 | — | — | 79 | |
| ASIF-Net2020.07 | 81.44 | 85.84 | — | 0.0896 | — | — | — | |
| PGARMACs (G)=44.65, Params (M)=16.22021.04 | 80.8 | 79.4 | 85.3 | 0.099 | — | — | — | |
| MDSF2020.08 | 80.5 | 79.3 | 88.5 | 0.095 | — | — | — | |
| TANetBackbone=VGG-162020.07 | 80.1 | 82.7 | 85.1 | 0.111 | 71.9 | 79.4 | — | |
| TANTraining Set=NJUD+NLPR2020.08 | 80.1 | — | 84.5 | 0.111 | — | — | 79.4 | |
| TANet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 80.1 | — | — | 0.111 | — | — | 77.1 | |
| PCANetBackbone=VGG-162020.07 | 80 | 82.9 | 85.6 | 0.112 | 71.6 | 79.3 | — | |
| AFNet2020.08 | 79.9 | 77.1 | 87.9 | 0.058 | — | — | — | |
| CPD19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 79.7 | — | — | 0.112 | — | — | 77.1 | |
| CTMFBackbone=VGG-162020.07 | 79.6 | 81.5 | 85.1 | 0.12 | 69.6 | 78.1 | — | |
| CTMFTraining Set=NJUD+NLPR2020.08 | 79.6 | — | 85.1 | 0.119 | — | — | 78.2 | |
| CTMF18Training Image Num.=0.65K+1.4K, Training Dataset=NLR+NJU2020.08 | 79.6 | — | — | 0.119 | — | — | 75.6 | |
| TANet2020.04 | 79.4 | 79.2 | 84 | 0.118 | — | — | — | |
| PCANTraining Set=NJUD+NLPR2020.08 | 79.4 | — | 84.2 | 0.112 | — | — | 79.2 | |
| PCF18Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 79.4 | — | — | 0.112 | — | — | 76.1 | |
| TAN2020.07 | 79.35 | 82.75 | — | 0.1108 | — | — | — | |
| PCFN2020.07 | 79.19 | 82.9 | — | 0.1118 | — | — | — | |
| DCFF2020.07 | 79.17 | 82.2 | — | 0.1191 | — | — | — | |
| DFTraining Set=NJUD+NLPR2020.08 | 79.1 | — | 84.4 | 0.138 | — | — | 80.6 | |
| DF17Training Image Num.=0.75K+1.0K, Training Dataset=NLR+NJU2020.08 | 79.1 | — | — | 0.138 | — | — | 67.9 | |
| CTMF2020.07 | 78.83 | 81.47 | — | 0.1202 | — | — | — | |
| CTMF2020.04 | 78.8 | 78.7 | 85.7 | 0.127 | — | — | — | |
| MMCIBackbone=VGG-162020.07 | 78.7 | 81.3 | 84 | 0.132 | 66.3 | 77.9 | — | |
| MMCITraining Set=NJUD+NLPR2020.08 | 78.7 | — | 84 | 0.132 | — | — | 77.9 | |
| MMCI19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 78.7 | — | — | 0.132 | — | — | 72.2 | |
| PCF2020.04 | 78.6 | 77.5 | 82.7 | 0.119 | — | — | — | |
| DFBackbone=VGG-162020.07 | 78.6 | 85.4 | 84.1 | 0.142 | 64.2 | 81 | — | |
| DF2020.04 | 78.3 | 81.3 | 85.7 | 0.146 | — | — | — | |
| MMCI2020.07 | 77.93 | 81.28 | — | 0.1318 | — | — | — | |
| DF2020.07 | 77.91 | 85.34 | — | 0.1424 | — | — | — | |
| MMCI2020.04 | 77.9 | 76.7 | 83.1 | 0.139 | — | — | — | |
| CMWMACs (G)=208.03, Params (M)=85.652021.04 | 77.6 | 77.9 | 83.4 | 0.13 | — | — | — | |
| AFNetPublication Year=20192020.07 | 77 | — | 88.1 | 0.068 | 72.8 | — | — | |
| DCMC2020.07 | 75.4 | 85 | 84.2 | 0.155 | 60.1 | 81.5 | — | |
| DTMPublication Year=20192020.07 | 75.2 | — | 85.8 | 0.123 | 69.7 | — | — | |
| DFPublication Year=20172020.07 | 75.2 | — | 87 | 0.093 | 76.6 | — | — | |
| BASNet19Training Image Num.=0.70K+1.5K, Training Dataset=NLR+NJU2020.08 | 74.8 | — | — | 0.132 | — | — | 71.7 |