Point Cloud Edge Extraction on ABC All
0.0245CDOSFENet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=08042026.04 | 0.0245 | 77.57 | 93.71 | 85.13 | 87.38 | |
| OSFENet2026.04 | 0.0245 | 83.54 | 89.55 | 93.82 | 89.97 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=70822026.04 | 0.0254 | 79.83 | 90.55 | 89.67 | 88.45 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=90912026.04 | 0.0265 | 80.79 | 90.02 | 90.54 | 88.29 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=98692026.04 | 0.0265 | 81.95 | 89.06 | 92.64 | 88.75 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=67542026.04 | 0.0282 | 79.08 | 90.07 | 88.65 | 87.26 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Down-sampling, Sampling ratio=0.902026.04 | 0.0283 | 79.93 | 88.29 | 91.2 | 87.72 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=43672026.04 | 0.0283 | 80.53 | 88.75 | 91.38 | 87.69 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=44972026.04 | 0.0298 | 79.47 | 88.68 | 91.02 | 87.09 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=13172026.04 | 0.0299 | 76.48 | 90.64 | 85.55 | 85.83 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=66842026.04 | 0.03 | 77.3 | 90.24 | 86.58 | 86.16 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Training Model ID=29822026.04 | 0.0303 | 77.35 | 89.55 | 87.15 | 85.96 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Gaussian noise, Noise level (sigma)=0.03Sd2026.04 | 0.0316 | 77.98 | 86.37 | 90.85 | 86.35 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Down-sampling, Sampling ratio=0.752026.04 | 0.0365 | 75.33 | 80.74 | 93.47 | 84.34 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Gaussian noise, Noise level (sigma)=0.05Sd2026.04 | 0.0382 | 75.04 | 81.62 | 92.29 | 84.46 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Gaussian noise, Noise level (sigma)=0.10Sd2026.04 | 0.0397 | 73.77 | 80.75 | 91.99 | 84.05 | |
| OSFENet#Parameters (M)=0.04, #Training Model=1, Condition=Down-sampling, Sampling ratio=0.602026.04 | 0.0405 | 67.06 | 80.39 | 82.9 | 78.63 | |
| NerVE2026.04 | 0.0409 | 72.63 | 88.13 | 82.35 | 84.09 | |
| EC-Net2026.04 | 0.0436 | 62.95 | 88.84 | 81.29 | 82.45 | |
| SGLBP2026.04 | 0.0558 | 60.88 | 70.7 | 90.97 | 74.42 | |
| BE2026.04 | 0.1233 | 27.97 | 51.16 | 60.87 | 46.85 | |
| PIENet2026.04 | 0.176 | 8.87 | 31.1 | 18.69 | 18.92 |