LearningtoOrientSurfaces bySelf-supervisedSphericalCNNs (SupplementaryMaterial)

Results for 3DMatch are shown in Table 1: the performance gain achieved by Compass when deploying theproposed data augmentation validates itsimportance. Indeed, without theproposed augmentation FLARE performs better than Compass on this dataset. This dataset has been specifically proposed to verify the invariance to rotations of the learned 3D descriptors [1], and containsonlyatestsplit. In Figure 2, we consider two pairs of local surface patches and their corresponding feature maps: both patches forming a pair are extracted around the same keypoint on different fragments. The canonical pose computed for the first pair is repeatable, while the second pair represents a failure ofCompass.