DoReMi uses self-supervised pre-training on topological and texture variations plus domain-aware experts with spatial-guided routing and entropy-controlled allocation to reach 80.1% mIoU on ScanNet and 77.2% mIoU on S3DIS.
Masked scene contrast: A scalable framework for unsuper- vised 3d representation learning
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DoReMi: Bridging 3D Domains via Topology-Aware Domain-Representation Mixture of Experts
DoReMi uses self-supervised pre-training on topological and texture variations plus domain-aware experts with spatial-guided routing and entropy-controlled allocation to reach 80.1% mIoU on ScanNet and 77.2% mIoU on S3DIS.