Object Segmentation on EORSSD 600 images
86.21mIoUWEFT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| WEFTTrainable Params (M)=14.372026.01 | 86.21 | 88.1 | 91.88 | 90.06 | 0.48 | |
| TLCKDNetTrainable Params (M)=52.092026.01 | 83.8 | 79.69 | 88.95 | 89.55 | 0.56 | |
| DPU-FormerTrainable Params (M)=44.22026.01 | 82.68 | 84.61 | 88.11 | 90.11 | 0.56 | |
| BCARNetTrainable Params (M)=242026.01 | 82.48 | 87.4 | 88.21 | 89.69 | 0.54 | |
| SRALTrainable Params (M)=31.92026.01 | 82.11 | 81.46 | 88.24 | 88.69 | 0.69 | |
| MCCNetTrainable Params (M)=67.652026.01 | 81.69 | 81.37 | 87.24 | 89.54 | 0.66 | |
| LGIPNetTrainable Params (M)=65.82026.01 | 81.54 | 85.6 | 87.21 | 89.38 | 0.65 | |
| SFANetTrainable Params (M)=25.12026.01 | 81.36 | 84.92 | 87.2 | 89.55 | 0.58 | |
| VSTTrainable Params (M)=44.482026.01 | 81.25 | 70.89 | 84.18 | 88.29 | 0.67 | |
| ICON-PTrainable Params (M)=65.682026.01 | 81.22 | 80.65 | 87.92 | 88.21 | 0.73 | |
| ACCoNetTrainable Params (M)=102.552026.01 | 81.18 | 79.69 | 86.51 | 88.98 | 0.74 | |
| UDCNetTrainable Params (M)=72.22026.01 | 80.73 | 82.11 | 86.97 | 89.57 | 0.56 | |
| PA-KRNTrainable Params (M)=141.062026.01 | 80.47 | 79.93 | 86.55 | 88.02 | 1.04 | |
| ADSTNetTrainable Params (M)=62.092026.01 | 80.46 | 85.32 | 86.51 | 89.12 | 0.65 | |
| ESGNetTrainable Params (M)=-2026.01 | 80.23 | 85.57 | 86.24 | 88.8 | 0.7 | |
| GeleNetTrainable Params (M)=25.52026.01 | 80.17 | 85.28 | 86.69 | 88.94 | 0.55 | |
| EMFINetTrainable Params (M)=95.092026.01 | 80.04 | 79.84 | 85.07 | 88.91 | 0.84 | |
| DAFNetTrainable Params (M)=29.352026.01 | 80.02 | 64.23 | 82.97 | 88.3 | 0.6 | |
| MJRBMTrainable Params (M)=43.542026.01 | 79.31 | 70.66 | 82.17 | 87.86 | 0.99 | |
| ERPNetTrainable Params (M)=56.482026.01 | 78.87 | 75.54 | 82.73 | 88.12 | 0.89 | |
| SOLNetTrainable Params (M)=6.52026.01 | 77.92 | 83.92 | 84.67 | 88.14 | 0.78 | |
| LVNetTrainable Params (M)=-2026.01 | 67.34 | 63.06 | 71.67 | 83.55 | 1.45 |