Point Cloud Classification on ModelNet-C Augmented WolfMix
93.4Overall Accuracy (OA)GDANet+W.M
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| GDANet+W.MBackbone=GDANet, Augmentation=WolfMix2023.03 | 93.4 | 0.571 | 0.904 | 0.883 | 0.532 | 0.551 | 0.305 | 0.415 | 0.409 | |
| PCT+W.MBackbone=PCT, Augmentation=WolfMix2023.03 | 93.4 | 0.574 | 1 | 0.854 | 0.379 | 0.493 | 0.298 | 0.505 | 0.488 | |
| RPC+W.MBackbone=RPC, Augmentation=WolfMix2023.03 | 93.3 | 0.601 | 1.011 | 0.968 | 0.423 | 0.512 | 0.332 | 0.48 | 0.479 | |
| DGCNN+W.MBackbone=DGCNN, Augmentation=WolfMix2023.03 | 93.2 | 0.59 | 0.989 | 0.715 | 0.698 | 0.575 | 0.285 | 0.415 | 0.451 | |
| EPiC+W.MBackbone=PCT, Ensemble size=12, Augmentation=WolfMix2023.03 | 92.7 | 0.51 | 0.915 | 0.699 | 0.323 | 0.425 | 0.268 | 0.404 | 0.535 | |
| EPiC+W.MBackbone=RPC, Ensemble size=12, Augmentation=WolfMix2023.03 | 92.7 | 0.501 | 0.915 | 0.68 | 0.315 | 0.42 | 0.251 | 0.382 | 0.544 | |
| EPiC+W.MBackbone=GDANet, Ensemble size=12, Augmentation=WolfMix2023.03 | 92.5 | 0.53 | 0.968 | 0.639 | 0.343 | 0.473 | 0.275 | 0.433 | 0.577 | |
| EPiC+W.MBackbone=DGCNN, Ensemble size=12, Augmentation=WolfMix2023.03 | 92.1 | 0.529 | 1.021 | 0.541 | 0.355 | 0.488 | 0.288 | 0.407 | 0.6 |