SageMix: Saliency-Guided Mixup for Point Clouds

Benchmark Model Rank Results
3d-part-segmentation-on-shapenet-partPointNet++ + SageMix#44Instance Average IoU: 85.7
3d-part-segmentation-on-shapenet-partDGCNN + SageMix#48Instance Average IoU: 85.4
3d-point-cloud-classification-on-modelnet40DGCNN + SageMix#53Overall Accuracy: 93.6
3d-point-cloud-classification-on-modelnet40PointNet++ + SageMix#68Overall Accuracy: 93.3
3d-point-cloud-classification-on-modelnet40PointNet + SageMix#100Overall Accuracy: 90.3
3d-point-cloud-classification-on-scanobjectnnPointNet++ + SageMix#59Overall Accuracy: 83.7
3d-point-cloud-classification-on-scanobjectnnDGCNN + SageMix#60Overall Accuracy: 83.6
image-classification-on-cifar-100PreActResNet-18 + SageMix#161Percentage correct: 80.16