SageMix: Saliency-Guided Mixup for Point Clouds

Benchmark Model Rank Results
3d-part-segmentation-on-shapenet-partPointNet++ + SageMix#37Instance Average IoU: 85.7
3d-part-segmentation-on-shapenet-partDGCNN + SageMix#40Instance Average IoU: 85.4
3d-point-cloud-classification-on-modelnet40DGCNN + SageMix#51Overall Accuracy: 93.6
3d-point-cloud-classification-on-modelnet40PointNet++ + SageMix#65Overall Accuracy: 93.3
3d-point-cloud-classification-on-modelnet40PointNet + SageMix#96Overall Accuracy: 90.3
3d-point-cloud-classification-on-scanobjectnnPointNet++ + SageMix#56Overall Accuracy: 83.7
3d-point-cloud-classification-on-scanobjectnnDGCNN + SageMix#57Overall Accuracy: 83.6
image-classification-on-cifar-100PreActResNet-18 + SageMix#125Percentage correct: 80.16