Point Cloud Classification on SKM (test)
99.79BridgeEyeNet
Evaluation Results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EyeNetYear=2023, Training time=5851.32026.06 | 99.79 | 90.82 | 82.09 | 50.69 | 11.58 | 87.9 | 21.97 | 96.37 | 86.32 | 67.65 | 80.45 | 59.95 | |
| RandLA-NetYear=2020, Training time=1558.92026.06 | 99.23 | 89.23 | 69.16 | 51.19 | 24.37 | 86 | 24.07 | 95.13 | 85.56 | 67.3 | 78.81 | 59.33 | |
| RFFS-NetYear=2022, Training time=11120.32026.06 | 99.2 | 89.28 | 42.05 | 76.22 | 50.01 | 87.22 | 33.54 | 42.24 | 82.19 | 64.97 | 75.25 | 48.21 | |
| CGA-NetYear=2021, Training time=2214.02026.06 | 98.95 | 84.66 | 76.2 | 58.44 | 19.12 | 91.35 | 12.76 | 95.14 | 85.03 | 67.08 | 78.21 | 58.06 | |
| GeoSegNetYear=2024, Training time=21675.62026.06 | 98.08 | 74.19 | 44.94 | 29.87 | 34.23 | 89.31 | 33.11 | 11.28 | 73 | 51.88 | 63.01 | 35.42 | |
| GSFFTraining time=948.72026.06 | 97.88 | 85.93 | 70.23 | 75.74 | 55 | 88.64 | 55.15 | 99.62 | 87.38 | 78.52 | 82.22 | 64.9 | |
| EMPCYear=2025, Training time=2945.92026.06 | 96.96 | 90.57 | 68.13 | 66.04 | 22.14 | 87.39 | 49.08 | 99.94 | 84.9 | 72.53 | 78.73 | 61.6 | |
| MAMPCYear=2023, Training time=981.22026.06 | 87.89 | 79.13 | 70.4 | 60.33 | 39.22 | 96.08 | 59.26 | 99.67 | 79.29 | 74 | 72.06 | 51.9 | |
| BAAF-NetYear=2021, Training time=2386.22026.06 | 77.91 | 54.13 | 65.54 | 23.37 | 6.47 | 51.04 | 11.13 | 44.75 | 62.14 | 41.79 | 49.6 | 32.27 |