Point Cloud Classification on ModelNet40 kNN attack
85.62AccuracyIF-Defense
Evaluation results
| Method | Links | |
|---|---|---|
| IF-DefenseModel=PointNet++2021.01 | 85.62 | |
| PointCutMix-RModel=PointNet++2021.01 | 83.35 | |
| IF-DefenseModel=DGCNN2021.01 | 82.33 | |
| PointCutMix-RModel=DGCNN2021.01 | 80.27 | |
| DUP-NetModel=PointNet++2021.01 | 74.88 | |
| PointCutMix-KModel=PointNet++2021.01 | 70.71 | |
| PointCutMix-KModel=DGCNN2021.01 | 68.76 | |
| SORModel=PointNet++2021.01 | 61.35 | |
| SORModel=DGCNN2021.01 | 55.92 | |
| SRSModel=PointNet++2021.01 | 49.96 | |
| SRSModel=DGCNN2021.01 | 41.25 | |
| DUP-NetModel=DGCNN2021.01 | 35.45 | |
| No DefenseModel=DGCNN2021.01 | 20.02 | |
| No DefenseModel=PointNet++2021.01 | 0 |