Fig. 11
From: Defect detection of gear parts in virtual manufacturing
Accuracy in training and validation. a Accuracy of training set; b Accuracy of validation set. In both a and b, a marker represents the accuracy of the network at the current epoch of training or validation. Specifically, gray represents PointNet, green represents PointNet+ + , blue represents PointCNN, red represents KPconv and yellow represents Gear-PCNet++