MLP-Mixer has newly appeared as a new challenger against the realm of CNNs and Transformer. Despite its simplicity compared to Transformer, concept channel-mixing MLPs token-mixing achieves noticeable performance in image recognition tasks. Unlike images, point clouds are inherently sparse, unordered irregular, which limits direct use for cloud understanding. To overcome these limitations, we p...

The challenge that this paper addresses is how to efficiently minimize the cost and manual labor for automatically generating object oriented geometric digital twins (gDTs) of industrial facilities, so benefits provide even more value compared initial investment generate these models. Our previous work achieved current state-of-the-art class segmentation performance (75% average accuracy per po...