Salient Object Detection on VT5000
0.925S-MeasureVSCode
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| VSCodeParams (M)=74.72, Backbone=Swin-S2023.11 | 0.925 | — | — | — | 0.9 | 0.959 | |
| TPS-SCLBackbone=SwinB, Params(M)=258.26, FLOPs(G)=139.172025.12 | 0.922 | — | — | — | 0.902 | 0.958 | |
| PCNet25Backbone=SwinB, Params(M)=291.91, FLOPs(G)=148.882025.12 | 0.92 | — | — | — | 0.899 | 0.956 | |
| VSCodeParams (M)=54.09, Backbone=Swin-T2023.11 | 0.918 | — | — | — | 0.892 | 0.954 | |
| SACNet24Backbone=SwinB, Params(M)=300.26, FLOPs(G)=143.782025.12 | 0.917 | — | — | — | 0.888 | 0.957 | |
| SPNet23Backbone=PVT-v2-B3, Params(M)=109.95, FLOPs(G)=56.942025.12 | 0.914 | — | — | — | 0.88 | 0.948 | |
| TPS-SCLBackbone=PVT-v2-B4, Params(M)=146.85, FLOPs(G)=72.062025.12 | 0.914 | — | — | — | 0.884 | 0.946 | |
| SwinNet22Backbone=SwinB, Params(M)=198.78, FLOPs(G)=124.722025.12 | 0.912 | — | — | — | 0.846 | 0.942 | |
| WaveNet23Backbone=Wave-MLP, Params(M)=80.7, FLOPs(G)=64.022025.12 | 0.911 | — | — | — | 0.864 | 0.94 | |
| MSEDNet24Backbone=ResNet152, Params(M)=93.55, FLOPs(G)=111.622025.12 | 0.91 | — | — | — | 0.873 | 0.943 | |
| TCINet24Backbone=SwinB, Params(M)=88.2, FLOPs(G)=91.872025.12 | 0.909 | — | — | — | 0.876 | 0.949 | |
| TPS-SCLBackbone=MobileNet-S, Params(M)=12.82, FLOPs(G)=12.342025.12 | 0.906 | — | — | — | 0.87 | 0.937 | |
| HENetBackbone=MobileNet-S, Params(M)=10.43, FLOPs(G)=10.752025.12 | 0.9 | — | — | — | 0.867 | 0.933 | |
| CGMDR2023.11 | 0.896 | — | — | — | 0.877 | 0.939 | |
| TNetParams (M)=87.412023.11 | 0.895 | — | — | — | 0.864 | 0.936 | |
| VST-T++Params (M)=100.512023.11 | 0.895 | — | — | — | 0.854 | 0.933 | |
| LAFB24Backbone=Res2Net50, Params(M)=118.76, FLOPs(G)=139.732025.12 | 0.894 | — | — | — | 0.854 | 0.928 | |
| CAVERParams (M)=55.792023.11 | 0.892 | — | — | — | 0.857 | 0.935 | |
| LGPNetBackbone=MobileNet-XS, Params(M)=7.35, FLOPs(G)=6.42025.12 | 0.89 | — | — | — | 0.85 | 0.908 | |
| ConTriNet25Backbone=Res2Net50, Params(M)=34.78, FLOPs(G)=55.422025.12 | 0.889 | — | — | — | 0.848 | 0.889 | |
| CMDBIF-Net2023.03 | 0.886 | 0.933 | 0.868 | 0.032 | — | — | |
| EAEFNet2023.03 | 0.885 | 0.934 | 0.853 | 0.031 | — | — | |
| DPLNet2023.12 | 0.879 | 0.916 | 0.828 | 0.038 | — | — | |
| ECFFNet2023.03 | 0.876 | 0.85 | 0.922 | 0.037 | — | — | |
| LSNet2023.03 | 0.876 | 0.916 | 0.827 | 0.036 | — | — | |
| LSNet2023.12 | 0.876 | 0.916 | 0.827 | 0.036 | — | — | |
| LSNetBackbone=MobileNet-V2, Params(M)=4.57, FLOPs(G)=1.232025.12 | 0.876 | — | — | — | 0.827 | 0.916 | |
| OSRNetBackbone=VGG16, Params(M)=15.62025.12 | 0.875 | — | — | — | 0.807 | 0.908 | |
| DCNet22Backbone=VGG16, Params(M)=24.1, FLOPs(G)=246.592025.12 | 0.871 | — | — | — | 0.819 | 0.92 | |
| MIDD2023.03 | 0.868 | 0.896 | 0.799 | 0.043 | — | — | |
| MIDD2023.12 | 0.868 | 0.896 | 0.799 | 0.043 | — | — | |
| MIDDParams (M)=52.432023.11 | 0.868 | — | — | — | 0.834 | 0.919 | |
| ADF2023.03 | 0.864 | 0.891 | 0.778 | 0.048 | — | — | |
| ADF2023.12 | 0.864 | 0.891 | 0.778 | 0.048 | — | — | |
| JLDCF2023.12 | 0.861 | 0.86 | 0.739 | 0.05 | — | — | |
| S2MA2023.12 | 0.853 | 0.864 | 0.743 | 0.053 | — | — | |
| CPD2023.12 | 0.848 | 0.867 | 0.741 | 0.05 | — | — | |
| TANet2023.12 | 0.847 | 0.883 | 0.754 | 0.047 | — | — | |
| AFNet2023.12 | 0.834 | 0.877 | 0.75 | 0.05 | — | — | |
| MMCI2023.12 | 0.827 | 0.859 | 0.714 | 0.055 | — | — | |
| FMCF2023.03 | 0.814 | 0.864 | 0.734 | 0.055 | — | — | |
| FMCF2023.12 | 0.814 | 0.864 | 0.734 | 0.055 | — | — | |
| PoolNet2023.12 | 0.769 | 0.755 | 0.588 | 0.089 | — | — | |
| R3Net2023.12 | 0.757 | 0.79 | 0.615 | 0.083 | — | — | |
| MobileSalBackbone=MobileNet-V2, Params(M)=6.55, FLOPs(G)=2.332025.12 | 0.754 | — | — | — | 0.713 | 0.812 | |
| SGDL2023.03 | 0.75 | 0.824 | 0.672 | 0.089 | — | — | |
| SGDL2023.12 | 0.75 | 0.824 | 0.672 | 0.089 | — | — | |
| MoADNetBackbone=MobileNet-V3, Params(M)=5.03, FLOPs(G)=2.962025.12 | 0.747 | — | — | — | 0.628 | 0.787 | |
| MTMR2023.03 | 0.68 | 0.795 | 0.595 | 0.114 | — | — | |
| M3S-NIR2023.03 | 0.652 | 0.78 | 0.575 | 0.168 | — | — | |
| CLDyNTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=0.46, FLOPs (G)=174.062026.04 | — | — | — | — | 0.8129 | 0.9087 | |
| CoCoTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.802 | 0.902 | |
| IRFSTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.8114 | 0.9091 | |
| MRFSTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.8032 | 0.9026 | |
| OCCOTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.803 | 0.9017 | |
| SAGETask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.8093 | 0.9066 | |
| SMiFTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.8023 | 0.9037 | |
| TDALTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.7977 | 0.8993 | |
| TDFuTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.7998 | 0.9003 | |
| TextIFTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.8033 | 0.9028 | |
| TIMFTask Network Retraining=true, Downstream Task Network=CTDNet-18, Input Resolution=600x800, Params (M)=46.52, FLOPs (G)=183.822026.04 | — | — | — | — | 0.7985 | 0.8998 |