only quadratic loss in cp_d0_dist D instead of 1

drprojects / superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

MIT License

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only quadratic loss in cp_d0_dist D instead of 1 #66

Closed 1a7r0ch3 closed 7 months ago

1a7r0ch3 commented 7 months ago

only quadratic loss in cp_d0_dist is now D (ambiant dimension, here n_dim + n_feat) instead of 1